Recommender System & Chatbots 2018


Notes:

  • Negotiation dialogs
  • Recommendation dialogs

Wikipedia:

References:

See also:

100 Best Recommender System Videos | Conversational Recommender Systems 2018


Intelligent travel chatbot for predictive recommendation in echo platform
A Argal, S Gupta, A Modi, P Pandey… – 2018 IEEE 8th …, 2018 – ieeexplore.ieee.org
… [12] Nilashi, M., Esfahani, MD, Roudbaraki, MZ, Ramayah, T., & Ibrahim, O. (2016). A multi-criteria collaborative filtering recommender system using clustering and regression techniques … Ontbot: Ontology based chatbot … Chatbots: are they really useful? In LDV Forum (Vol …

Conversational recommender system
Y Sun, Y Zhang – The 41st International ACM SIGIR Conference on …, 2018 – dl.acm.org
… Companies like Amazon, Google, eBay, Alibaba are all rolling out these chatbots … On the other hand, researchers have demonstrated the impor- tance of recommender systems in e-commerce … To improve the success or conversion rate of a shopping/sales chatbot, we argue …

A deep reinforcement learning chatbot (Short Version)
IV Serban, C Sankar, M Germain, S Zhang… – arXiv preprint arXiv …, 2018 – arxiv.org
… We present MILABOT: a deep reinforcement learning chatbot developed by the Mon- treal Institute for Learning … Conversational agents – including chatbots and personal assistants – are becoming increasingly ubiquitous … Matrix factorization techniques for recommender systems …

MusicRoBot: Towards Conversational Context-Aware Music Recommender System
C Zhou, Y Jin, K Zhang, J Yuan, S Li… – … Conference on Database …, 2018 – Springer
… We embed the music recommendation into a chatbot, integrating both the advantages of dialogue system and recommender system. In our system, conversational interaction helps capture more real-time and richer requirements …

Conversation strategy of a chatbot for interactive recommendations
Y Ikemoto, V Asawavetvutt, K Kuwabara… – Asian Conference on …, 2018 – Springer
… Some chatbots also rely on such a graphical user interface (GUI) as buttons with … that matches a user’s preferences and consider a conversation strategy in a chatbot setting … Typical recommender systems use algorithms such as content-based or collaborative filtering [8]. In these …

Chatbot-based tourist recommendations using model-based reasoning
I Nica, OA Tazl, F Wotawa – Proceedings of the 20th International …, 2018 – eventhelpr.com
… In the following, we describe the algorithm for providing recommendations in the context of chatbots … We are currently implementing the presented algorithms includ- ing an integration with an existing chatbot environment dealing with tourism recommender systems …

Unleashing the potential of chatbots in education: A state-of-the-art analysis
R Winkler, M Söllner – 2018 – alexandria.unisg.ch
… 5. How can different kinds of learning outcomes be influenced by chatbot design … We applied a wide definition of chatbots in order to capture available literature from … (“conversational agent” OR “chat bot” OR “chatbot” OR “pedagogical agent” OR …

User Interaction with AI-enabled Systems: A Systematic Review of IS Research
C Rzepka, B Berger – 2018 – aisel.aisnet.org
… significant differences between human-like and machine-like appearances with respect to both virtual (chatbots, recommender systems, intelligent tutoring … show that humans put significantly more intersubjective effort into interactions with a human chatbot embodiment than a …

Digital Psychiatry-Curbing Depression using Therapy Chatbot and Depression Analysis
B Sharma, H Puri, D Rawat – 2018 Second International …, 2018 – ieeexplore.ieee.org
… Automated suggestions using NLP and recommender systems – Once the … Review aspects of the language, which pose problems for chatbot-learning … progress of students, also incorporating some educational aids or by improving the way of explanations using chatbots [13] …

Intelligent interactive multimedia systems and services 2017
G De Pietro, L Gallo, RJ Howlett, LC Jain – 2018 – Springer
… “A Forward-Selection Algorithm for SVM-Based Question Classification in Cognitive Systems”–“A Model of a Social Chatbot”) focused on … 515 Paola La Scala, Bruno Simões and Raffaele De Amicis A Personalised Recommender System for Tourists on City Trips: Concepts …

Improving fairness in machine learning systems: What do industry practitioners need?
K Holstein, JW Vaughan, H Daumé III, M Dudík… – arXiv preprint arXiv …, 2018 – arxiv.org
… working on applications involving richer interactions between the user and the system (eg, chat- bots, web search, and … Research Scientist Chatbots / Conversational AI CEO, Product Manager, UX Researcher … Recommender Systems Chief Data Scientist, Data Scientist, Head of …

Anomaly detection for short texts: Identifying whether your chatbot should switch from goal-oriented conversation to chit-chatting
A Bakarov, V Yadrintsev, I Sochenkov – International Conference on Digital …, 2018 – Springer
… amount of cases whether anomaly detection systems work under the hood of recommender systems or document … of their use: there are so-called general conversation agents, or chatbots which do … comes when one wants to extend the conversational agents to a chatbot, ie to …

AI in Marketing, Sales and Service: How Marketers Without a Data Science Degree Can Use AI, Big Data and Bots
P Gentsch – 2018 – books.google.com
… Should Thus Today Prepare Themselves for a World in Which… Chatbots: Testing New … 6 Three Takeaways to Work on When Creating Your Chatbot Alexa Becomes Relaxa … GALAXY—Grasping the Power of Weak Signals Next Best Action—Recommender Systems Next Level …

Content-Oriented User Modeling for Personalized Response Ranking in Chatbots
B Liu, Z Xu, C Sun, B Wang, X Wang, DF Wong… – IEEE/ACM Transactions …, 2018 – dl.acm.org
… implicitly based on user generated contents, and it is promising to perform as an important component in chatbots to select the personalized responses for each user. Index Terms—User modeling, personalization, response rank- ing, conversational model, personalized chatbot …

Conversational support for education
DE Akcora, A Belli, M Berardi, S Casola… – … Conference on Artificial …, 2018 – Springer
… Chatbots Education Virtual teaching assistant Virtual learning assistant Learning companion Interactive tutoring system … The second case is about a MOOC (“Recommender Systems” by prof … The chatbot is meant to support the learner in choosing the most appropriate path …

Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial
Z Ren, X He, D Yin, M de Rijke – … ACM SIGIR Conference on Research & …, 2018 – dl.acm.org
… of existing chatbots models applied in e-commerce, and outlook to future directions of e-commerce chatbots … In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, pages 7–10 … Superagent: A customer service chatbot for e-commerce websites …

Translating science into business innovation: The case of open food and nutrition data hackathons
C Tucci, G Viscusi, H Gautschi – Frontiers in nutrition, 2018 – ncbi.nlm.nih.gov
… Built chatbot prototype. Information gathering about chatbot and recommender system. Financing. Meeting with Hannes Gassert. Meeting with Thomas Rippel. Complete recommender system prototype. Complete chatbot. Test bot with real users. Launch strategy (March 2018) …

Improving the User Experience with a Conversational Recommender System
F Narducci, M de Gemmis, P Lops… – … Conference of the Italian …, 2018 – Springer
… In this paper we propose a movie recommender system implemented as Telegram chatbot 1 . Chatbots are a kind of bots which emulate user conversations. We implemented a Telegram chatbot since users can interact with …

A Context Aware Recommender System for Digital Storytelling
F Clarizia, F Colace, M Lombardi… – 2018 IEEE 32nd …, 2018 – ieeexplore.ieee.org
… Keywords—recommender system; context aware system; digital storytelling; chatbot … II. RELATED WORKS In this section, we are going to show several cases of use of the Digital Storytelling, Chatbot and Recommender System in order to obtain a complete vision of state of art …

Introducing a Traceability Based Recommendation Approach Using Chatbot for E-Learning Platforms
K Souali, O Rahmaoui, M Ouzzif – International Conference on Advanced …, 2018 – Springer
… While engaged in a conversation, the chatbot analyses the request to select relevant … and metrics, and attempted to present the benefits of using it within recommender systems … that combines both Traceability and Recommendation for students through Chatbots, which consists …

Safebot: A Safe Collaborative Chatbot
M Chkroun, A Azaria – Workshops at the Thirty-Second AAAI Conference …, 2018 – aaai.org
… Chatbots are also used in a wide range of applications such as recommender systems and more (Azaria … which is most human like chatbot (a Turing-like test), and which chatbot can hold … Nowadays, most chatbots either rely on tedious work by their developers at defining their …

Tuning a conversation strategy for interactive recommendations in a chatbot setting
Y Ikemoto, V Asawavetvutt, K Kuwabara… – Journal of Information …, 2018 – Taylor & Francis
… Some chatbots also rely on a graphical user interface (GUI), such as buttons with … matches a user’s preferences, and consider a conversation strategy in a chatbot setting … Typical recommender systems use algorithms such as content-based or collaborative filtering (Ricci, Rokach …

The Technological Gap Between Virtual Assistants and Recommendation Systems
D Rafailidis – arXiv preprint arXiv:1901.00431, 2018 – arxiv.org
… A Chatbot is a computer program that carries out a conversation through, whereas smart speakers are a … Neural Networks (ANNs), learning throughout their usage and have better performance, while Chatbots are based … Matrix factorization techniques for recommender systems …

A Virtual Chatbot for ITSM Application
S Raut – Asian Journal For Convergence In Technology …, 2018 – asianssr.org
… These bots have found applications in various domains such as E-commerce services, medical assistance, recommender systems and educational purposes … Deep learning has shown promising results in generative models of chatbot than any other handcrafted chatbots …

Design and implementation of a chatbot for e-commerce
A Asadi, R Hemadi – researchgate.net
… chatbots are mainly for recreational and research purposes [3]. Most notable chatbots that were … Authors of [3] developed a chatbot based on an e-commerce website that helps … and after that to increase the customers satisfaction, a product recommender system was added to …

Fuzzy-Based Conversational Recommender for Data-intensive Science Gateway Applications
AA Chandrashekara, RKM Talluri… – … Conference on Big …, 2018 – ieeexplore.ieee.org
… is the ability to use relevant Jupyter Notebook or CI template recommender systems as shown … as Google Dialogflow, IBM Watson, AWS Lex, Microsoft LUIS, developing a chatbot has been … Recent bibliometric study on chatbots [16] reveals the scope of contributions in the state …

Travel Booking Chatbot
PMDB Lino – 2018 – repositorio-aberto.up.pt
… per year, which opens more space in the market for chatbots, to potentially take advantage of . 2.4 Recommender systems Firstly, when looking to book a new trip, a user can find a lot of unnecessary information all over the internet, whereby resorting to a chatbot, that problem …

Chatbots and new audience opportunities for museums and heritage organisations
S Boiano, A Borda, G Gaia, S Rossi… – Proceedings of the …, 2018 – researchgate.net
… Emerging free chatbot-creating platforms, eg, Chatfuel, Chatterbot Eliza, among others, and the … The exponential growth in the use of chatbots by marketers and online … often as messaging applications that can personalise the interaction (eg, recommender systems), is providing …

Towards a new generation of movie recommender systems: A mood based approach
N Wietreck – 2018 – diva-portal.org
… Towards a new generation of movie recommender systems: A mood based … I, Niklas WIETRECK, declare that this thesis titled, “Towards a new generation of movie recommender systems: A mood based approach” and the work presented in it are my own. I confirm that …

State-of-the-Art Approaches for German Language Chat-Bot Development
N Boisgard – 2018 – ec.tuwien.ac.at
… Figure 1.2: The number of publications containing the terms “chatbot”, “chatterbot”, “chat-bot … Examples for such systems are virtual private assistants and conversational recommender systems … are capabilities, behaviors or attributes attributed to one or more chat-bot systems in …

A Survey on Chatbot Implementation in Customer Service Industry through Deep Neural Networks
M Nuruzzaman, OK Hussain – 2018 IEEE 15th International …, 2018 – ieeexplore.ieee.org
… viii. Recommender System: Existing chatbots do not ask questions, explain or advice on the user topic. They just collect information and provide responses from knowledge- base. The chatbot should able to write questions based on previous answers. ix. Accuracy: Chatbots are …

A Fuzzy-Based User Privacy Framework and Recommender System
A Kaskina – 2018 – doc.rero.ch
… A Fuzzy-Based User Privacy Framework and Recommender System: Case of a Platform for Political Participation Ph.D. Thesis … titioning Around Medoids (PAM) algorithms, fuzzy privacy profiles are used in the architecture of privacy settings recommender system …

Making Personalized Recommendation through Conversation: Architecture Design and Recommendation Methods
S Lee, R Moore, GJ Ren, R Arar, S Jiang – Workshops at the Thirty-Second …, 2018 – aaai.org
… The result has been a proliferation of chatbots and virtual assistants on the web and on mobile devices … implementation is introduced in (At- zori, Boratto, and Spano 2017) but the main focus is limited on the interaction between a recommender system and chat- bots in the …

Design-Bot-Using Half-Automated Qualitative Interviews as Part of Self Communication within the Design Process
M Kulcke – 2018 – papers.cumincad.org
… of the designer using it – in contrast to a number of commercial recommender systems (on this … H and Willer, S (eds) 2006, Web-Kommunikation mit OpenSource – Chatbots, Virtuelle Messen … 601-613 Schumacher, M 2017, ‘Helferlein – Der Chatbot Hubot als Dienstleister für alle …

ARTIFICIAL INTELLIGENCE IN HOME DÉCOR WEBSITE
A Raj, MS Gautam, U Rawat – ijiter.com
… Researchers and practitioners developing recommender systems are left with little information about the current … The more shopping carts that your chatbot application supports, the more potential … such as product details, quantities and shipping terms that chatbots may use to …

Biased Bots: Conversational Agents to Overcome Polarization
T Dingler, A Choudhury, V Kostakos – Proceedings of the 2018 ACM …, 2018 – dl.acm.org
… Author Keywords Critical Media; Depolarization; Chatbots; Conversational Agents … [12] showed that recommender systems that present … Haller and Traian [7] describe a chat- bot, which draws information from websites to recreate the personality of a historical figure middle …

Engineering Of Intelligent Personal Assistant For Product Range: A Review Of The Literature
VS Vetrov – «RUSSIAN ECONOMY: GOALS, CHALLENGES AND …, 2018 – fa.ru
… The first technique in engineering of intelligent chatbots is natural language processing methods … Specifically, they used Q-Learning for recommender systems ‘reinforcement learning … To sum up, creating chatbot involves not only standard natural language processing algorithms …

Intelligent Interactive Multimedia Systems and Services: Proceedings of 2018 Conference
GD Pietro, L Gallo, RJ Howlett, LC Jain, L Vlacic – 2018 – dl.acm.org
Help Design Your New ACM Digital Library. We’re upgrading the ACM DL, and would like your input. Please sign up to review new features, functionality and page designs. Leave an email address: or Follow @ACMDL. or [Not interested]. Google, Inc. (search) …

Advances in Computational Intelligence Systems
A Lotfi, H Bouchachia, A Gegov, C Langensiepen… – Intelligence, 2018 – Springer
… self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control … and Amar Aggoun Learning from Interaction: An Intelligent Networked-Based Human-Bot and Bot-Bot Chatbot System …

Allyn, A Recommender Assistant for Online Bookstores
L Esquerrà Schaefer – 2018 – upcommons.upc.edu
… 36 3 Chatbots 39 3.1 Building blocks . . . . . 40 3.2 A Chatbot as a Recommender System Front-End . . . . . 42 i Page 12. Allyn: A Recommender Assistant for Online Bookstores I An Economic Analysis 44 …

Advances in Artificial Intelligence, Software and Systems Engineering: Joint Proceedings of the AHFE 2018 International Conference on Human Factors in …
TZ Ahram – 2018 – books.google.com
… 275 Sylvain Hourlier Beyond the Chatbot: Enhancing Search with Cognitive Capabilities… 283 Jon G. Temple and Claude J. Elie A Comparative Analysis of Similarity Metrics on Sparse Data for Clustering in Recommender Systems …

Color navigation by qualitative attributes for fashion recommendation
Y Chae, J Xu, B Stenger… – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… This color navigation by speech was demonstrated in a mobile fashion recommender system. The … fingertips. More recently, e-commerce chatbots have been launched as a new shopping platform to enhance the shopping experience …

Lunchocracy: Improving Eating Dynamics in the Workplace Using a Bot-Based Anonymous Voting System
N Terzimehi?, M Khamis, F Bemmann… – Extended Abstracts of …, 2018 – dl.acm.org
… [11] showed an affirmative influence others have on user’s recipe choice when being navigated through a recipe recommender system by the means of other user’s actions … Create a Skype chat-bot as every group member is included and let the chat-bot present the voting results …

Dual perspectives on the role of artificially intelligent robotic virtual agents in the tourism, travel and hospitality industries
D Ukpabi, H Karjaluoto, SA Olaleye, E Mogaji – EuroMed Academy of …, 2018 – jyx.jyu.fi
… Furthermore, through artificially intelligent-recommender systems, personalised deals and offer … Most of the airlines have introduced conversational chatbots for travel booking. A traveler can pose a booking question to the chatbot …

Ontology Based Resource for History Education
D Baeva, D Atanasova – TEM JOURNAL-TECHNOLOGY EDUCATION …, 2018 – ceeol.com
… There are many examples of integration of technology chatbot systems and more sophisticated … Bringing chatbots into education: Towards natural language negotiation of open learner models … A recommender system based on tag and time information for social tagging systems …

Now We Are Talking! Flexible and Open Goal-Oriented Dialogue Systems for Accessing Touristic Services
U ?im?ek, D Fensel – e-Review of Tourism Research – journals.tdl.org
… Very recently, Facebook launched the bot framework for its Messenger product, which allowed businesses to create their own chatbots … ACM Computing Surveys, 34(1):90-169. Nguyen, TN and Ricci, F. (2017). A Chat-Based Group Recommender System for Tourism …

Artificial intelligence in the travel & tourism industry adoption and impact
R Geisler – 2018 – run.unl.pt
… to recommend. In the case of a chatbot this training data could consists of thousands of scripted conversations … Chess Computers Recommender systems Language translation … systems dominate the industry. Those archetypes are chatbots, travel assistants, and service robots …

How Voice Can Change Customer Satisfaction: A Comparative Analysis between E-Commerce and Voice Commerce
D Kraus, V Reibenspiess, A Eckhardt – researchgate.net
… Data Syst. 104, 744–755 (2004). 7. Brandtzaeg, PB: Why People Use Chatbots … 14. Mahmood, T., Mujtaba, G., Venturini, A.: Dynamic personalization in conversational recommender systems. Inf … 15. Shawar, BA, Atwell, ES: Using corpora in machine-learning chatbot systems …

The Rise of Computational Influence
O Nov – Available at SSRN 3263740, 2018 – papers.ssrn.com
… Examples include social networking sites (eg Facebook) and recommender systems, through which users often learn about others’ activities, beliefs, and attitudes … 1 Cresci, E. (2017). Chatbot that overturned 160,000 parking fines now helping refugees claim asylum …

Sales And Service
P Gentsch – Springer
… 15 Acceptance of Chat Bots Is Still Controversia l 181 5.5 … 2 Recommender Systems 223 5.10 … Page 12. xii Contents 5.11 How Artificial Intelligence and Chatbots Impact the Music Industry and Change Consumer Interaction with Artists and Music Label s 233 5.11 …

Editorial Special Issue on Artifical Intelligence and Information Systems on Knowledge, Technology and Service Management
X Tang, J Wu – Journal of Systems Science and Systems Engineering, 2018 – Springer
… As a chatbot interacting with the client, the developed automated agent accomplishes a sequence of tasks including natural … strategic analysis of regional economic development, knowledge creation in working teams, the big data analytics, recommender systems in electronic …

5th International Symposium on Data Mining Applications
M Alenezi, B Qureshi – 2018 – Springer
… and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics … Aljoharah Almjewail, Suha Alsenaydi, Haifa ALSudairy, and Isra Al-Turaiki Support of Existing Chatbot Development Framework …

Adapted Decision Support Service Based on the Prediction of Offline Consumers’ Real-Time Intention and Devices Interactions
F Shi, CG Guegan – … IEEE 42nd Annual Computer Software and …, 2018 – ieeexplore.ieee.org
… Based on a consumer’s current state of mind, OSIS offers the most relevant decision support service to him (eg recommender system, search engine, chatbot, or navigation system). Meanwhile, it collects consumers’ feedback to improve the instance-based strategy …

Collaborative Technologies and Data Science in Smart City Applications
A Hajian, W Luther, AJH Vinck – 2018 – books.google.com
… the Smart Human Centered Computing tracN, Laura Pilz identifies and dis- cusses problems of scientific paper recommender systems and addresses … A Japanese author group headed by Tomoo Inoue presents the paper Chat Bot Im- proves the Motivation Toward Using a Self …

Code Hunting Games: A Mixed Reality Multiplayer Treasure Hunt Through a Conversational Interface
BD Paolini, A Bogliolo – Internet Science: INSCI 2017 …, 2018 – books.google.com
… 4.2 Future Work When the development of Code Hunting Games started, Telegram was picked as the target chatbot platform for technical reasons … 555–565. ACM (2017) Kucherbaev, P., Psyllidis, A., Bozzon, A.: Chatbots as conversational recommender systems in urban …

Why You Should Listen to This Song: Reason Generation for Explainable Recommendation
G Zhao, H Fu, R Song, T Sakai, X Xie… – 2018 IEEE International …, 2018 – ieeexplore.ieee.org
… Experiments show the effectiveness of our method, and its deployment on XiaoIce chatbot improves the click-through rate substantially … II. RELATED WORK Our work is related to two groups of work: explainable recommender systems and conversation systems …

Towards Deep Conversational Recommendations
R Li, SE Kahou, H Schulz, V Michalski… – Advances in Neural …, 2018 – papers.nips.cc
… The chat bot is made of several components, including: a rule-based component, a matching-score component that compares the context with similar conversations from the data to … The recommender-systems literature has also proposed models for conversational systems …

Internet Science: INSCI 2017 International Workshops, IFIN, DATA ECONOMY, DSI, and CONVERSATIONS, Thessaloniki, Greece, November 22, 2017 …
S Diplaris, A Satsiou, A Følstad, M Vafopoulos… – 2018 – books.google.com
… 223 Frank Dignum and Floris Bex An Overview of Open-Source Chatbots Social Skills … “A Hybrid Recommendation System Based on Density-Based Clustering.” This work presents a hybrid recommender system that combines collaborative filtering and a content …

Internet Science
SS Bodrunova – 2018 – Springer
… 169 Alexander V. Yakunin, Svetlana S. Bodrunova, and Maria Gourieva Similarity Measures and Models for Movie Series Recommender System…. 181 Bliznuk Danil, Yagunova Elena, and Pronoza Ekaterina What Makes Users Trust a Chatbot for Customer Service …

LearnIR: WSDM 2018 Workshop on Learning from User Interactions
R Mehrotra, AH Awadallah, E Yilmaz – … on Web Search and Data Mining, 2018 – dl.acm.org
… ere is a gradual shi towards searching and presenting the information in a con- versational form. Chatbots, personal assistants in our phones and eyes-free devices are being used increasingly more for di erent purposes, including information retrieval and exploration …

Personality Matters! Improving The User Experience of Chatbot Interfaces-Personality provides a stable pattern to guide the design and behaviour of conversational …
TL Smestad – 2018 – brage.bibsys.no
… and extends to customer service tasks, product purchasing, shopping assis- tants, recommender systems, service or … 57 % of companies have implemented or are planning to implement a chatbot as part of … 2017) released a report in which they have found that chatbots will save …

Automatic Online Fake News Detection Combining Content and Social Signals
MD Vedova, E Tacchini, S Moret, G Ballarin… – Proceedings of the 22st …, 2018 – dl.acm.org
… Second, we implement our method within a Facebook Messenger chatbot and validate it with a real-world application, obtaining a fake news detection accuracy of 81.7 … 2972- 2978. 25. F. Ricci, L. Rokach, B. Shapira, and PB Kantor, Recommender Systems Handbook …

Designing and Delivering MOOCs that Fit all Sizes
S Casola, N Di Blas, P Paolini… – Society for Information …, 2018 – learntechlib.org
… Table 4: structuring content items for Module I of a course about Recommender Systems … In the future interactive help and a dedicated chat-bot will conduct a conversation with the learner, helping … In the long run, we will develop smart chat-bots that can help users make the best …

Automatic online fake news detection combining content and social signals
ML Della Vedova, E Tacchini, S Moret… – … 22nd Conference of …, 2018 – ieeexplore.ieee.org
… has been successfully applied in other fields: in the recommender systems field, for example, the so-called hybrid recommender systems are used … Second, we implement our method within a Facebook Mes- senger chatbot and validate it with an external and independent set of …

Survey: Importance and Research Issues in Big Data
R Dinesh, R Manibharathi – Journal of Network Communications and …, 2018 – jncet.org
… Recommender Systems & Preference Analytics research focus on technologies and solutions related to the … Graph, Information Extraction, Question Answering, Information Retrieval, Chat bot, NLP for … Sentiment analysis & Opinion Mining, Question Answering, Chatbot & User …

“I’m looking for something like…”: Combining Narratives and Example Items for Narrative-driven Book Recommendation
T Bogers, M Koolen – … Recommender Systems Workshop. CEUR-WS, 2018 – ceur-ws.org
… needs and how much of a problem they still pose for current-generation recommender systems. In 2017, Kang et al. [20] analyzed the composition of such complex needs by exploring how people use natural language to ask for movie recommendations using a chatbot …

Advances in Computer Communication and Computational Sciences: Proceedings of IC4S 2017
SK Bhatia, S Tiwari, KK Mishra, MC Trivedi – 2018 – books.google.com
… organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control … 37 Nivedita Das, Manjusha Pandey and Siddharth Swarup Rautaray Linguistic Rule-Based Ontology-Driven Chatbot System …

Improving Dialog Systems Using Knowledge Graph Embeddings
B Carignan – 2018 – curve.carleton.ca
… or TransH [7]. Knowledge graphs have also been used in conjunction with word em- beddings in recommender systems, allowing a neural model to benefit from multiple … 6 2.1.2 Early Chatbots ELIZA [11] is an early chatbot program which uses a series of scripts to process user …

Using a graph database for evaluating and enhancing a social reputation engine
C Constantinov, M Mocanu, C Potera?… – 2018 19th …, 2018 – ieeexplore.ieee.org
… A notable example can be found in paper [7], where the authors propose a hybrid recommender system which combines content-based filtering … Even more, users now indirectly engage in a search by using chatbots and, more recently, virtual personal assistants such as Google …

Towards Automatic & Personalised Mobile Health Interventions: An Interactive Machine Learning Perspective
A Fadhil – arXiv preprint arXiv:1803.01842, 2018 – arxiv.org
… HAVIOR application [29] used mobile sensing technology to develop personalised health feedback by combining behaviour tracking with recommender system algorithms … The chatbot in this project provides user with a custom key- board to access/report their daily activity using …

Machine Learning in Educational Technology
IT Nafea – Machine Learning-Advanced Techniques and …, 2018 – intechopen.com
… Recommender systems are the more obvious target of machine learning usage … Recently, Twitter has begun applying this technology to their platform. Researchers in the education sector consider recommender systems as the most utilized systems in modern times …

LNCS 10750 Internet Science
S Diplaris, A Satsiou, A Følstad, M Vafopoulos… – Springer
… 223 Frank Dignum and Floris Bex An Overview of Open-Source Chatbots Social Skills … “A Hybrid Recommendation System Based on Density-Based Clustering.” This work presents a hybrid recommender system that combines collaborative filtering and a content …

2nd International Workshop on Mobile Access to Cultural Heritage
S Castagnos, T Kuflik, I Lykourentzou, M Wallace – ceur-ws.org
… Available at https://mo- bilehci.acm.org/2018/ 8. Olga Loboda, Julianne Nyhan, Simon Mahony and Daniela Romano. Towards Evaluating the Impact of Recommender Systems on Visitor Experience in Physical Museums … Towards Chatbots in the museum …

A Survey of Interpretability and Explainability in Human-Agent Systems
A Richardson, A Rosenfeld – XAI 2018 – researchgate.net
… personal assistants, recommendation systems, training and tutoring systems, service robots, natural language pro- cessing or chat bots, planning and self … Feelings of trust are especially important in certain domains, such as health-care [6], recommender systems [20], planning [9 …

Report on the SIGIR 2017 Workshop on eCommerce (ECOM17)
J Degenhardt, S Kallumadi, YC Lin, M de Rijke, L Si… – ACM SIGIR Forum, 2018 – dl.acm.org
… Trust • Live experimentation Desktop and mobile issues • Questions and answering, chatbots for eCommerce … The fourth paper chosen for presentation was “A content-based recommender system for e- commerce offers and coupons” by Xia et al …

Multi-channel Conversational Agent for Personalized Music Recommendations
M Morisio, G Verazzo – webthesis.biblio.polito.it
… In conclusion, the state of art is that we can build knowledge into chatbot that they can use to cooperate with us on … Build- ing better chatbots will necessitate knowledge engineering and research into how agents can better follow and adapt to the … 3.2 – Recommender systems …

Human Systems Engineering and Design: Proceedings of the 1st International Conference on Human Systems Engineering and Design (IHSED2018): Future …
T Ahram, W Karwowski, R Taiar – 2018 – books.google.com
… systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control … x Contents Putting Chatbots to the Test: Does the User Experience Score Higher with Chatbots Than Websites …

Deep learning with logged bandit feedback
T Joachims, A Swaminathan, M de Rijke – 2018 – openreview.net
… 1 INTRODUCTION Log data can be recorded from online systems such as search engines, recommender systems, or online stores at little cost and in huge quantities. For concreteness, consider the interaction logs of an ad-placement system for banner ads …

How banks can better serve their customers through artificial techniques
A Vieira, A Sehgal – Digital Marketplaces Unleashed, 2018 – Springer
… A Recommender System (RS) is an algorithm that suggest items to a user that he may … www.forwardlook.com/indian-mobile-only-bank-handles-customer-service-with-chatbots/. 20 … do-your-banking-with-a-chatbot, Massachusetts: MIT Technology Review, 2016.Google Scholar …

Seeing (Movement) is Believing: The Effect of Motion on Perception of Automatic Systems Performance
P García García, E Costanza, J Verame… – Human–Computer …, 2018 – Taylor & Francis
… “Smart” is a loose term, but we broadly consider systems to be smart, if they are capable to autonomously make decisions based on data that they collect or sense (such as search engines and recommender systems but also smart thermostats) …

E-Commerce Personalization in Africa: A Comparative Analysis of Jumia and Konga.
M Nkwo, R Orji, JC Nwokeji, C Ndulue – PPT@ PERSUASIVE, 2018 – researchgate.net
… Uses the Jumia ChatBot to assist users to make in- formed decisions online and help system track user preferences in real-time … 2. Alexa https://www.alexa.com/topsites/category/Regional/ Africa/Nigeria 3. B. Schafer, J. Konstan and J. Riedl, “Recommender System in E …

How Artificial Intelligence (AI) Is Reshaping Retailing
H it Works – search.proquest.com
… AI in voice platforms and chatbots can help retailers increase both efficiencies and satisfaction in customer service experience … models should be developed for different facets of retailing, ranging from demand forecasting, to segmentation, to recommender systems, to inventory …

Towards JARVIS for Software Engineering: Lessons Learned in Implementing a Natural Language Chat Interface
R Pandita, S Bucuvalas, H Bergier, A Chakarov… – Workshops at the Thirty …, 2018 – aaai.org
… Most teams starting chat-bot implementations rarely do. One alternative is to train a model on external yet similar data and then use transfer-learning to customize the model for the specific domain … Recommender systems … A new chatbot for customer service on social media …

Designing for workplace reflection: a chat and voice-based conversational agent
R Kocielnik, D Avrahami, J Marlow, D Lu… – Proceedings of the 2018 …, 2018 – dl.acm.org
… Liao et al. [43] conducted a field study of a chat bot that was designed to help … Beyond research systems, conversational agents and chat bots are being increasingly adopted by companies and organizations for development support, and team and task management [64] …

Report on the 2017 ACM SIGIR International Conference Theory of Information Retrieval (ICTIR? 17)
H Fang, J Kamps, E Kanoulas, M de Rijke, E Yilmaz – ACM SIGIR Forum, 2018 – dl.acm.org
… Chatbots, personal assistants in our phones and eyes-free devices are being … in building goal-oriented dialogue systems and open-domain chit-chat bots, more remains … areas such as reinforcement learning, econometrics, deep learning, and large-scale recommender systems …

The Importance of Context When Recommending TV Content: Dataset and Algorithms
MS Kristoffersen, SE Shepstone, ZH Tan – arXiv preprint arXiv:1808.00337, 2018 – arxiv.org
… How- ever, within TV recommender systems the feedback is usually implicit in the form of watched/not watched, since continu- ously probing … settings of TV viewing events, eg Bluetooth trackers to identify present users and their activity level, together with chatbot sessions for …

Artificial Intelligence: Fiction, reality and… dreams
N Oliver – opalproject.org
… in photos, in our personal assistants (eg Siri, Cortana, Google Now, Alexa or Google Home, conversational chatbots) and in … Throughout my professional career, I have contributed to personalization and recommender systems with models that include context [15], that optimize …

Future of Banking
AD Menon – 2018 – conferences.lafferty.com
… Accelerate & Enhance decision insights • Increase speed & quality of insights to target & personalize • Recommender systems increase targeting returns by 2X+ • Automate & standardize process … Client customization • Chat bots • Fraud detection • Decision making / risk mgmt …

Neural-network based adaptive context prediction model for ambient intelligence
JC Kim, K Chung – Journal of Ambient Intelligence and Humanized …, 2018 – Springer
Page 1. Vol.:(0123456789) 1 3 Journal of Ambient Intelligence and Humanized Computing https://doi.org/10.1007/s12652-018-0972-3 ORIGINAL RESEARCH Neural-network based adaptive context prediction model for ambient intelligence …

Persuasive Technology in African Context
M Nkwo, R Orji – researchgate.net
… The recommender system provides personalized contents to customers via the use of persuasive techniques [1,2,9] … On the other hand, this chatbot helps the eCommerce administrators to quickly track and understand user preferences online real-time …

Persuasive technology in African context: deconstructing persuasive techniques in an African online marketplace
M Nkwo, R Orji – Proceedings of the Second African Conference for …, 2018 – dl.acm.org
… The recommender system provides personalized contents to customers via the use of persuasive techniques [1,2,9] … On the other hand, this chatbot helps the eCommerce administrators to quickly track and understand user preferences online real-time …

Alexa, build me a brand An Investigation into the impact of Artificial Intelligence on Branding
A West, J Clifford, D Atkinson – The Business & Management Review, 2018 – abrmr.com
… are rising in three key areas of customer service – its “timeliness, accessibility and proactiveness.” The KLM chatbot has had a … Netflix continue to emphasise the importance of personalisation on their business – “we develop and use our recommender system because we …

Toward a User-Adapted Question/Answering Educational Approach
C Alzetta, G Adorni, I Celik, F Koceva… – Adjunct Publication of the …, 2018 – dl.acm.org
… features. MOOCBuddy is a chatbot based on Face- book Messenger Platform acting as a MOOC Recommender System that uses user’s social media profile and interests to achieve per- sonalization of the learning experience [13] …

Understanding bots for policy and research: Challenges, methods, and solutions
R Gorwa, D Guilbeault – CoRR, 2018 – pdfs.semanticscholar.org
… According to some scholars, bots are responsible for significant proportions of online activity, are used to game algorithms and recommender systems (Yao et al … Modern chatbots are substantially more sophisticated than their predecessors: today, chatbot programs have …

Explainable recommendation: A survey and new perspectives
Y Zhang, X Chen – arXiv preprint arXiv:1804.11192, 2018 – arxiv.org
… only provide the user with the recommendations, but also make the user aware why such items are recommended by generating recommendation explana- tions, which help to improve the effectiveness, efficiency, persuasiveness, and user satisfaction of recommender systems …

How to Evaluate Humorous Response Generation, Seriously?
P Braslavski, V Blinov, V Bolotova… – Proceedings of the 2018 …, 2018 – dl.acm.org
… ABSTRACT Nowadays natural language user interfaces, such as chatbots and conversational agents … is a rapid proliferation of natural language interfaces – chat- bots, intelligent assistants … Eigentaste 5.0: constant- time adaptability in a recommender system using item clustering …

Getting value from artificial intelligence in agriculture
MJ Smith – Animal Production Science – CSIRO
… manage farm systems and stimulating the development of decision support and recommender systems … Common widespread examples are the development of powerful chatbot conversational interfaces, with … 1). Chat-bots, where the interacting agent is simply a machine, could …

Contextual Advertising Engine
GAA Rodrigues – 2018 – estudogeral.sib.uc.pt
… Table 12: Recommender system’s matching features and comparison mechanisms….. 59 … The surface of it is being scratched by Customer Support Chat Bots, but there is still …

Xiao-Shih: The Educational Intelligent Question Answering Bot on Chinese-Based MOOCs
HH Hsu, NF Huang – 2018 17th IEEE International Conference …, 2018 – ieeexplore.ieee.org
… Second, chatbots for casual chatting are mostly implemented by RNN (Recurrent Neural Networks … Thus, this kind of chatbot remain rare in educational environments especially for MOOCs … [5] J. Gope and S. Kumar Jain, “A learning styles based recommender system prototype for …

Persuasion in eCommerce: a comparative analysis of western and indigenous African eCommerce
M Nkwo, R Orji – Proceedings of the Second African Conference for …, 2018 – dl.acm.org
… as shown in Table 1. Additionally, while Amazon implemented the “social roles” principle with an active social community where users can ask and answer questions about products, Jumia integrated a virtual specialist chatbot known as … Recommender Systems in eCommerce …

Unpacking the social media bot: A typology to guide research and policy
R Gorwa, D Guilbeault – Policy & Internet, 2018 – Wiley Online Library
… proportions of online activity, are used to game algorithms and recommender systems (Yao, Viswanath … specific purpose, and not automated agents in the sense of a chatbot or social … not designed to influence users through direct communicative activities, and chatbots are often …

Intelligent Information and Database Systems: 10th Asian Conference, ACIIDS 2018, Dong Hoi City, Vietnam, March 19-21, 2018, Proceedings
NT Nguyen, DH Hoang, TP Hong, H Pham, B Trawi?ski – 2018 – books.google.com
… Papers included in the proceedings cover the following topics: knowledge engi- neering and Semantic Web; social networks and recommender systems; text processing and information retrieval; machine learning and data mining; decision support and control systems …

Ambient context-based modeling for health risk assessment using deep neural network
K Chung, H Yoo, DE Choe – Journal of Ambient Intelligence and …, 2018 – Springer
… References Adomavicius G, Tuzhilin A (2015) Context-aware recommender sys- tems, recommender systems handbook … IEICE Trans Infor Syst E87-D(12):2781–2790 Chung K, Park RC (2018) Chatbot-based healthcare service with a knowledge base for cloud computing …

Artificial Intelligence: way forward for India
SK Srivastava – JISTEM-Journal of Information Systems and …, 2018 – SciELO Brasil
… Some companies such as Google, Microsoft developed chatbots to perform several other tasks on behalf of the … There are a number of product and service recommender systems such as the one used by Amazon on its … Chatbot is being used to order products and services online …

The impact of artificial intelligence in Tourism Industry: A Systematic Literature review
D Samara – 2018 – repository.ihu.edu.gr
… and words as the “-bot” has entered everyday language. AI technologies underlie in many other Internet tools, such as “search engines”, “recommender systems”, and “Web site aggregators”. AI has been drawn into much closer contact with control theory and …

A building permit system for smart cities: A cloud-based framework
M Eirinaki, S Dhar, S Mathur, A Kaley, A Patel… – … Environment and Urban …, 2018 – Elsevier
… Previous article in issue; Next article in issue. Keywords. Building permit. Data analytics. Data mining. Recommender system. Urban planning. Cloud computing. Smart city. 1. Introduction. Construction projects typically require a building permit, a plan check, and inspections …

Computational Journalism
N Thurman – Forthcoming, Thurman, 2018 – papers.ssrn.com
… reception. The chapter ends with a discussion of how the literature is evolving, addressing new practices — such as “sensor journalism” and interactive chatbots—and also questioning … chatbots (see, eg, Jones & Jones, 2018b and Ford & Hutchinson, 2018) and the automation …

CiSt Main Tracks–Focused Conferences
B Data, B Intelligence – ieeexplore.ieee.org
… Digital epigraphy • Machine Learning models and applications • Artificial Intelligence and Recommender systems • Neural Networks … It is currently finalizing the implementation of an intelligent conversational agent (chatbot) that teaches the user a safe and responsible behavior …

Data analysis, artificial intelligence and the judiciary system
BJ van Ettekoven, C Prins – … Handbook in Data Science and Law, 2018 – elgaronline.com
… parking tickets across London and New York for free, showing that chatbots can actually be … 12 <https://www.theguardian.com/technology/2016/jun/28/chatbot-ai- lawyer- donotpay … with office applications, supporting court officials and judges in a case as recommender systems …

Opportunities for Machine Learning Research to Support Fairness in Industry Practice
K Holstein, JW Vaughan, H Daumé III… – the? 2018 Workshop …, 2018 – kenholstein.com
… R30 Chatbots CEO, Product Manager, UX Researcher [R17, R18], R35 … R31 Recommender Systems Chief Data Scientist, Data Scientist, Head of Diversity Analytics R8, R12, R23, R33 Web Search Product Manager R5, R11 …

Channels of social influence for decision making in restaurants: A case study
M Romero-Charneco, AM Casado-Molina… – Dos Algarves: A …, 2018 – dosalgarves.com
… This automation in MIM channels is realised byt the implementation of a chatbot. Chatbots are software programs which communicate with their users using a natural language (Griol, Carbó & Molina, 2013; Shawar & Atwell, 2007; Kerly, Hall & Bull, 2007) and engage in a …

Finbrain: When finance meets ai 2.0
X Zheng, M Zhu, Q Li, C Chen, Y Tan – arXiv preprint arXiv:1808.08497, 2018 – arxiv.org
… Recent developments on speech recognition and natural language processing enable machine-to-hu- man communication via interactive smart Q&A inter- faces (eg, chatbot systems such as Siri and Cortana) (Etzioni 2011), which enhance service experience while reducing …

Revenue Growth is the Primary Benefit of the Cloud
B Power, J Weinman – IEEE Cloud Computing, 2018 – ieeexplore.ieee.org
… was able to rapidly prototype a new version of its iconic “Easy” button that tied to an IBM Watson chatbot … CA Gomez-Uribe and N. Hunt, “The Netflix recommender system: Algorithms, business value, and innovation,” ACM Transactions on Management Information Systems, vol …

An End User Development Approach for Failure Handling in Goal-oriented Conversational Agents
TJJ Li, I Labutov, BA Myers, A Azaria… – … in Conversational UX …, 2018 – azariaa.com
Page 1. An End User Development Approach for Failure Handling in Goal-oriented Conversational Agents Toby Jia-Jun Li, Igor Labutov, Brad A. Myers, Amos Azaria, Alexander I. Rudnicky and Tom M. Mitchell Abstract This …

Teaching Agents When They Fail: End User Development in Goal-Oriented Conversational Agents
TJJ Li, I Labutov, BA Myers, A Azaria… – … in Conversational UX …, 2018 – Springer
… G (2017b) The UX of not making your users shout at your Chatbot. In: Chatbots Magazine, Aug 8, 2017. https://chatbotsmagazine.com/difficult-conversations-1-voice-recognition-error-handling- 74d93056ddce. Azaria A, Hong J (2016) Recommender systems with personality …

Deep learning for affective computing: Text-based emotion recognition in decision support
B Kratzwald, S Ili?, M Kraus, S Feuerriegel… – Decision Support …, 2018 – Elsevier
… As such, various application areas of decision support – such as customer support, marketing, or recommender systems – can be improved considerably through the use of affective computing. Similarly, all systems with human-computer interactions (eg chatbots and personal …

Artificial Intelligence in Smart Tourism: A Conceptual Framework
RH Tsaih, CC Hsu – Artificial Intelligence, 2018 – aisel.aisnet.org
… 3. Gaussian mixture model. 4. Recommender system. Reinforcement learning: Enhanced algorithm learning how to perform tasks simply by trying to maximize their behavior and reward rewards … The available product in market such as Chatbot, voice customer assistant …

Advances in Usability, User Experience and Assistive Technology: Proceedings of the AHFE 2018 International Conferences on Usability & User Experience …
TZ Ahram, C Falcão – 2018 – books.google.com
… self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control … Silva, Luis Carlos Paschoarelli, Valéria Ramos Friso, and José Carlos Plácido da Silva Accessibility in Chatbots: The State …

Voice recognition by Google Home and Raspberry Pi for smart socket control
CY Peng, RC Chen – 2018 Tenth International Conference on …, 2018 – ieeexplore.ieee.org
… For instance, 83% of text-based recommender systems in the domain of digital libraries use TF-IDF … This paper investigates the establishment of an open domain chatbot database through the services provided by API.ai and compiles an API.ai that can interact with the user on …

Data-driven meets theory-driven research in the era of big data: opportunities and challenges for information systems research
W Maass, J Parsons, S Purao, VC Storey… – Journal of the …, 2018 – aisel.aisnet.org
… recidivism rates for white offenders. In another application domain, the Tay chatbot was launched by Microsoft in 2016 to embed machine learning as a way to engage in realistic conversations with Twitter users. It was quickly shut …

Proceedings of International Ethical Hacking Conference 2018: EHaCON 2018, Kolkata, India
M Chakraborty, S Chakrabarti, VE Balas, JK Mandal – 2018 – books.google.com
… self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control … In this part, there are six papers dealing with social engineering attack, vulnerability scanner, AI chatbot, efficient task …

Digital footprints: an emerging dimension of digital inequality
M Micheli, C Lutz, M Büchi – Journal of Information …, 2018 – emeraldinsight.com
… media content curation (Bucher, 2017), social credit scoring (Harris, 2018), recommender systems in online … Various examples, such as Microsoft’s Tay chatbot (Neff and Nagy, 2016), have … embedded into AI systems across search engines (Noble, 2018), chatbots (Schlesinger et …

A survey of machine learning for big code and naturalness
M Allamanis, ET Barr, P Devanbu… – ACM Computing Surveys …, 2018 – dl.acm.org
… 81:3 a “bag of words” representation of code, modeling code using sequences, trees, and continuous representations. We describe a wide range of emerging applications, ranging from recommender systems, debugging, program analysis, and program synthesis …

Progress of artificial intelligence (AI)
TMI B?jenescu – 2018 – repository.utm.md
… Figure 4). Today, NLP’s deep learning transformation is well underway; this will lead to a flourishing of new applications (such as chatbots) … are waiting to be tracked but we simply have not had the opportunity to collect the data (eg recommender systems, standardized testing) …

Digital Transformation in Retail: Can Customer Value Services enhance the Experience?
M Meyer, P Helmholz, S Robra-Bissantz – 2018 – aisel.aisnet.org
… They provide the customer with help and recommendations without actively asking for it, like context-aware recommender systems or digital … augmented reality can enhance the feeling of advice and product testing or location-aware chat bots can pop … digital assistant chat bot …

Design and development of Rexy: a virtual teaching assistant for on-site and online courses
M PARENTI – 2018 – politesi.polimi.it
… of Politecnico di Milano reaching the learning objectives of Recommender Systems, it can … lives. 1.1.2 Application of Current Chatbot Technologies The most popular and pervasive chatbots or digital assistants are the ones em- bedded …

Understanding User Engagement in Digital Education
I Balasooriya, E Mor, ME Rodríguez – International Conference on …, 2018 – Springer
… Systems and tools such as success predictors, recommender systems, and visualization/ dashboard systems [34 … Alternative directions include technologies such as chatbots that has seen to engage … 44] where an integration between our approach and the chatbot interface could …

A corpus of corporate annual and social responsibility reports: 280 million tokens of balanced organizational writing
SGM Händschke, S Buechel, J Goldenstein… – Proceedings of the First …, 2018 – aclweb.org
… recommender systems (Vandic et al., 2017; Trotman et al., 2017). This also includes customer-supplier interaction platforms (eg, portals, helps desks, newsgroups) and trans- action support systems based on natural lan- guage communication (including business chat bots) …

Learning preferences and soundscapes for augmented hearing
MJ Korzepa, B Johansen, MK Petersen… – … on Intelligent User …, 2018 – orbit.dtu.dk
… wearable smartspeakers which would al- low the user to directly interact with the device, eg by means of a chatbot or voice AI … to demographics (eg age, gender) and audiology (eg audiogram) data, could alleviate the cold start problem in this recommender system, thus enabling …

HeyMoe: Leveraging virtual robot and game mechanics in mobile prototype application design for Chinese language learning
B Gong – 2018 – scholarworks.rit.edu
… https://medium.muz.li/designing-a-chatbot-9dda900c2bfc … “Recommender Systems for Personalized Gamification.” Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization – UMAP 17 … “A Beginner’s guide to designing smart chatbots.” Feb 14 …

Emoji Sentiment Scores of Writers using Odds Ratio and Fisher Exact Test
J Berengueres – arXiv preprint arXiv:1808.06110, 2018 – arxiv.org
… of a text can enhance the effectiveness of applications that range from automated psychological support such as the woeBot chatbot, to suicide and depression prevention systems [1, 2]. In addition, sentiment scores are useful in user profiling and recommender systems …

Robotic and intelligence: ethical challenges philosophical1
D Lawrence – The freedom of scientific research: Bridging the gap …, 2018 – books.google.com
… Support line jobs are beginning to be overtaken by chatbots able to provide answers from extensive databases–providing the same … Gomez-Uribe, CA, and Hunt, N.(2016),’The Netflix recommender system: algorithms, business value, and innovation’, ACM Transactions on …

BYU-EVE: Mixed Initiative Dialog via Structured Knowledge Graph Traversal and Conversational Scaffolding
N Fulda, T Etchart, W Myers, D Ricks, Z Brown… – dex-microsites-prod.s3.amazonaws …
Page 1. BYU-EVE: Mixed Initiative Dialog via Structured Knowledge Graph Traversal and Conversational Scaffolding Nancy Fulda, Tyler Etchart, William Myers, Daniel Ricks, Zachary Brown Joseph Szendre, Ben Murdoch, Andrew Carr and David Wingate …

Emotion and Sentiment Analysis from Twitter Text
K Sailunaz – 2018 – prism.ucalgary.ca
… 66 4.13 Recommender System Workflow … terrorists by analyzing the emotions of people after a terrorist attack or crime; improving the performances of chatbots and other automatic feedback systems; and so on. For instance …

Beneficial AI: the next battlefield
E Oliveira – Journal of Innovation Management, 2018 – journals.fe.up.pt
… Recommender System such as those used by Amazon and Netflix are welcome … Even if we look at the present, we are not willing to replicate what happened with Microsoft Corporation Chatbot Tay that began to post offensive tweets, forcing Microsoft to shut down the service …

A user-centered mobile cloud computing platform for improving knowledge management in small-to-medium enterprises in the Chilean construction industry
D Núñez, X Ferrada, A Neyem, A Serpell… – Applied Sciences, 2018 – mdpi.com
Knowledge management (KM) is a key element for the development of small-to-medium enterprises (SMEs) in the construction industry. This is particularly relevant in Chile, where this industry is composed almost entirely of SMEs. Although various KM system proposals can be …

A Neural Architecture for Multi-label Text Classification
S Coope, Y Bachrach, A Žukov-Gregori?… – Proceedings of SAI …, 2018 – Springer
… co-occurrence [10], algebraic techniques [11], methods using collaborative filtering based recommender systems [12] or … 16, 17] question-answering [18], named-entity recognition [19] and chatbots [20, 21]. 4 … M., Chandar, S., Ke, NR, et al.: A deep reinforcement learning chatbot …

Interviews Aided with Machine Learning
IT Dezember – Perspectives in Business Informatics Research – Springer
… There exist multiple systems that use natural language processing and machine learning to interact with humans eg, chat bots and automated … Another approach that is often used in recommender systems is the analysis of Term Frequency-Inverse Document Frequency (TF-IDF …

Improving Search Through A3C Reinforcement Learning Based Conversational Agent
M Aggarwal, A Arora, S Sodhani… – International Conference …, 2018 – Springer
… 2 Related Work. There have been various attempts at modeling conversational agents, as dialogue systems [4, 10, 20, 26] and text-based chat bots [5, 11, 12, 21, 24] … Shani, G., Heckerman, D., Brafman, RI: An MDP-based recommender system. J. Mach. Learn. Res …

Public internet data mining methods in instructional design, educational technology, and online learning research
R Kimmons, G Veletsianos – TechTrends, 2018 – Springer
… decades as it has been applied to a variety of fields to help solve persistent problems like developing webpage recommender systems (Niwa et … For example, in investigating ways to scaffold student learning when interacting with a chatbot, data mining methods may enable IDT …

Interviews Aided with Machine Learning
R Ambrosius, M Ericsson, W Löwe… – … Conference on Business …, 2018 – Springer
… There exist multiple systems that use natural language processing and machine learning to interact with humans eg, chat bots and automated … Another approach that is often used in recommender systems is the analysis of Term Frequency-Inverse Document Frequency (TF-IDF …

A Roadmap for the Value-Loading Problem
LN Hoang – arXiv preprint arXiv:1809.01036, 2018 – arxiv.org
… AI’s job if needed. In practice though, large-scale AIs such as recommender systems are processing so much data that the surveillance or re- placement of such AIs is arguably unfeasible, at least by humans. What is more, if …

DeepCompare: Visual and Interactive Comparison of Deep Learning Model Performance
S Murugesan, S Malik, F Du, E Koh, TM Lai – sana-malik.github.io
… 5.2 Answering Product Questions For the second dataset, the practitioners were interested in creating a chatbot for answering questions about … design of Deep- Compare relies heavily on having a known ground truth, which is not always the case, as in recommender systems …

Polisis: Automated analysis and presentation of privacy policies using deep learning
H Harkous, K Fawaz, R Lebret, F Schaub… – 27th {USENIX} Security …, 2018 – usenix.org
… demonstrating our applications: a ser- vice giving a visual overview of the different aspects of each privacy policy, a chatbot for answering … remove the interface barrier be- tween the policy and the users, especially in conver- sational interfaces (eg, voice assistants and chatbots) …

Experiences and perspectives of Technology-enhanced learning and teaching in higher education–Serbian case
M Ivanovi?, AK Mili?evi?, V Aleksi?, B Brati?… – Procedia Computer …, 2018 – Elsevier
… increasing the learning opportunities, challenges and efficiency supporting adaptive learning and personalization based on learning styles identification and recommender systems [25] … Such assistants (desirable implemented as Chatbots) can help the learner in different ways …

Machine Learning with Swift: Artificial Intelligence for IOS
O Sosnovshchenko, O Baiev – 2018 – books.google.com
… 264 Word vector representations 264 Autoencoder neural networks 265 Word2Vec 266 Word2Vec in Gensim 269 Vector space properties 269 iOS application 270 Chatbot anatomy 271 … We’re also going to use neural networks to build several chatbots with different personalities …

Open learner models and learning analytics dashboards: a systematic review
R Bodily, J Kay, V Aleven, I Jivet, D Davis… – Proceedings of the 8th …, 2018 – dl.acm.org
Page 1. Open Learner Models and Learning Analytics Dashboards: A Systematic Review Robert Bodily Brigham Young University United States bodilyrobert@gmail.com Judy Kay University of Sydney Australia judy.kay@sydney.edu.au …

Learning Numerical Attributes in Knowledge Bases
B Kotnis, A García-Durán – 2018 – openreview.net
… their performance. A variety of AI applications such as recommender systems, natural language chatbots or question answering models, have benefited from the rich structural information archived in these repositories. This is …

Conversation-Based Complex Event Management in Smart-Spaces
AS Lago, HS Ferreira – arXiv preprint arXiv:1807.07047, 2018 – arxiv.org
Page 1. Conversation-Based Complex Event Management in Smart-Spaces André Sousa Lago1[0000?0002?4534?9180] and Hugo Sereno Ferreira2[0000?0002? 4963?3525] 1 Faculty of Engineering of University of Porto …

Proceedings of International Ethical Hacking Conference 2018
M Chakraborty, S Chakrabarti, VE Balas, JK Mandal – Springer
… self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control … In this part, there are six papers dealing with social engineering attack, vulnerability scanner, AI chatbot, efficient task …

Data-to-Learning-to-Action
S Flinn – Optimizing Data-to-Learning-to-Action, 2018 – Springer
… The recommender system will typically base its recommendations on inferences that are derived from behavioral information, such as historical patterns of … Natural language–based digital assistants such as chatbots are rapidly supplanting the good old-fashioned typing of a key …

Gamma-Poisson Dynamic Matrix Factorization Embedded with Metadata Influence
TDT Do, L Cao – Advances in Neural Information Processing Systems, 2018 – papers.nips.cc
… mGDMF can further tackle massive, sparse and evolving data by involving time-dependent metadata for scalable recommendation and tackling challenges in other applications such as context-aware chatbot by involving textual and sequential information. 9 Page 10 …

Machine learning: the new’big thing’for competitive advantage
M Attaran, P Deb – … Journal of Knowledge Engineering and Data …, 2018 – researchgate.net
Page 1. Int. J. Knowledge Engineering and Data Mining, Vol. 5, No. 4, 2018 277 Copyright © 2018 Inderscience Enterprises Ltd. Machine learning: the new ‘big thing’ for competitive advantage Mohsen Attaran* and Promita Deb …

A Development of Participatory Sensing System for Foreign Visitors in PBL
S Nakamae, W Sakamoto, T Negishi, S Goto… – Asian Conference on …, 2018 – Springer
… Whenever there was a new post, the volunteers received a notification via chat bot, and one volunteer was assigned to the post; the … 13 Oct 2017 (in Japanese). 3. Baraglia, R., Frattari, C., Muntean, CI, Nardini, FM, Silvestri, F.: RecTour: a recommender system for tourists …

Transforming the IT Services Lifecycle with AI Technologies
K Kloeckner, J Davis, NC Fuller, G Lanfranchi, S Pappe… – 2018 – Springer
Page 1. 123 SPRINGER BRIEFS IN COMPUTER SCIENCE Kristof Kloeckner · John Davis · Nicholas C. Fuller Giovanni Lanfranchi · Stefan Pappe Amit Paradkar · Larisa Shwartz Maheswaran Surendra · Dorothea Wiesmann Transforming the IT Services Lifecycle with AI …

Digital Tools: Their Value and Use for Marketing Purposes
C Papetti, S Christofle… – The Emerald Handbook …, 2018 – emeraldinsight.com
… Tourism-related industries are entering the era of artificial intelligence. This includes significant advances on data, voice assistants and chatbots. Big data mining and processing will soon enable hotel managers to propose a hyper- personalisation of the customer experience …

A Survey on Food Computing
W Min, S Jiang, L Liu, Y Rui, R Jain – arXiv preprint arXiv:1808.07202, 2018 – arxiv.org
… For example, [Knez and Šajn 2015] gave a survey on mobile food recognition and described nine mobile food recognition systems based on their system architecture. [Trattner and Elsweiler 2017a] provided a summary of food recommender systems …

Towards a deeper understanding of current conversational frameworks through the design and development of a cognitive agent
PP Angara – 2018 – dspace.library.uvic.ca
… as a means of interacting with users. 2016 was dubbed as the year of the chatbot, ac- cording to a market research study by MindBowser, in association with the Chatbots Journal.1 Two yearsdf later, conversational applications and virtual assistants are …

I lead, you help but only with enough details: Understanding user experience of co-creation with artificial intelligence
C Oh, J Song, J Choi, S Kim, S Lee, B Suh – Proceedings of the 2018 …, 2018 – dl.acm.org
Page 1. I Lead, You Help But Only with Enough Details: Understanding the User Experience of Co-Creation with Artificial Intelligence Changhoon Oh, Jungwoo Song, Jinhan Choi, Seonghyeon Kim, Sungwoo Lee, Bongwon …

Mass Personalization through Mobile App Adoption Analytics
RM Frey – 2018 – research-collection.ethz.ch
… 77 Figure 29. Mockup of the recommender system within the online shop … Once at the office, your personal chatbot has already answered some questions from employees and customers. That leaves time for coffee in the lunch room …

Emotion Detection in Text: a Review
A Seyeditabari, N Tabari, W Zadrozny – arXiv preprint arXiv:1806.00674, 2018 – arxiv.org
… Also emotion detection can be used in human computer interaction and recommender systems to produce interactions or recommendations based on the emotional state of the user … One can also argue it is necessary to create better artificial intelligence tools, eg chatbots …

Artificial Intelligence for Fashion
AI How, L Luce – Springer
… 22 ELIZA …..22 Chatbots ….. 23 Specialized Chatbots …..23 Conversational …

Multi-round Tag Recommendation Algorithm for Shopping Guide Robots
S Yuyao – Proceedings of the 4th International Conference on …, 2018 – dl.acm.org
… experts in the field of chat bots believe that there is still a long way to go to design a perfect chat robot [4] … DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network [J]. Bmc Medical Research Methodology, 2018, 18(1):24 …

Decision support with text-based emotion recognition: Deep learning for affective computing
B Kratzwald, S Ilic, M Kraus… – arXiv preprint arXiv …, 2018 – pdfs.semanticscholar.org
… or recommender systems – can be improved considerably through the use of affective computing. Similarly, all systems with human-computer interactions could further benefit from emotion recognition and a deeper understanding of empathy (eg chatbots and personal …

Deep Semantic Learning for Conversational Agents
M Morisio, M Mensio – 2018 – webthesis.biblio.polito.it
… The spreading of these agents, also called bots or chatbots, has highlighted an important need: going beyond the simple (often pre-computed) answer and provide personalized answers according to users’ profiles … 12 2 State of the Art 13 2.1 Chatbots and their classification …

Ethics in Social Autonomous Robots: Decision-Making, Transparency, and Trust
F Alaieri – 2018 – ruor.uottawa.ca
… safety. These trends are also apparent with bots, such as chatbots, personal assistant applications, and recommender systems which have manifested a corresponding increase in their development … intelligence failures such as Microsoft’s catastrophic chatbot Tay (Bass, 2016) …

ICEL 2018 13th International Conference on e-Learning
E Ivala – 2018 – books.google.com
… Differences and Technology Usage amongst Postgraduate Students in a Christian University Ambrose A. Azeta and Mc Donald van der Merwe 33 A DevOps Software Architecture for Recommender Systems in Digital … Liza sometimes spends weekends teaching chatbots to pun …

The road to enterprise Artificial Intelligence: a case studies driven exploration
SS Siddique – 2018 – dspace.mit.edu
… A different approach could have been to focus by industry and technology – eg ‘deep learning for recommender systems in retail’ but this thesis aims to cater to a broader audience, and to take a high level CIO perspective rather than one deep in technical details …

Web forum retrieval and text analytics: A survey
D Hoogeveen, L Wang, T Baldwin… – … and Trends® in …, 2018 – nowpublishers.com
Page 1. Preprint Foundations and Trends R in Information Retrieval Vol. 12, No. 1 (2018) 1–163 c 2018 D. Hoogeveen, L. Wang, T. Baldwin, KM Verspoor DOI: 10.1561/1500000062 Web Forum Retrieval and Text Analytics: a Survey …

Conversational Forms of Instruction and Message Layer Design
AS Gibbons III – 2018 – scholarsarchive.byu.edu
… In an era where personalized conversations and increasing levels of interaction are becoming the norm in the form of chatbots, recommender systems, and intelligent tutors, precise and detailed descriptions of the invisible message architecture are becoming equally …

Neural networks and deep learning
CC Aggarwal – 2018 – Springer
… 81 2.5.6 Other Applications . . . . . 82 Page 13. CONTENTS XV 2.5.7 Recommender Systems: Row Index to Row Value Prediction . . . . 83 2.5.8 Discussion . . . . . 86 2.6 …

Algorithms, machine learning, and collusion
U Schwalbe – Available at SSRN 3232631, 2018 – papers.ssrn.com
… for example politics, finance, sport etc. or recommender systems were the recommendations a customer receives are based on an estimation of what group of consumers this customer resembles the most. This is then used to …

Smart Technology for Smart Nation SmartTechCon2017
SK Niranjan, SS Manvi, MM Kodabagi, VR Hulipalled – ieeexplore.ieee.org
Page 1. 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon) i Proceedings of the 2017 International Conference On Smart Technology for Smart Nation SmartTechCon2017 17 – 19 August 2017 REVA University, Bengaluru, India …

Recommendation Systems in a Conversational Web
KN Vavliakis, MT Kotouza, AL Symeonidis, PA Mitkas – 2018 – issel.ee.auth.gr
… another term, “conversational web” has recently started to be used in the context of user interfaces, also known as chat- bots or virtual assistants, as … Recommender systems are key elements in almost every personalization system and are di- vided in online and offline systems …

AI4D: Artificial Intelligence for Development
S Mann, M Hilbert – Available at SSRN 3197383, 2018 – papers.ssrn.com
… For example, image recognition DNN share learned features about lines, eyes and faces on lower levels. Online recommender systems learn to transfer shopper preferences among books, music, and consumer electronics …

Help Wanted
M Bogen, A Rieke – 2018 – apo.org.au
… Some tools engage candidates with chatbots and virtual interviews, and others use game-based assessments to reduce reliance on traditional (and often structurally biased) factors like university attendance, GPA, and test scores …

Future scenarios of the collaborative economy: centrally orchestrated, social bubbles or decentralized autonomous?
JA Fehrer, S Benoit, L Aksoy, TL Baker… – Journal of Service …, 2018 – emeraldinsight.com

D9. 2–Formative Evaluation Results
S Perry, M Economou, H Young, A Katifori, M Roussou… – emotiveproject.eu
… It then presents findings from our evaluations of the alpha versions of three EMOTIVE experiences: the On-site Çatalhöyük Collaborative experience, ChatÇat – the Çatalhöyük Chatbot, and the On-site Hunterian experience … 4.2 ChatÇat, the Çatalhöyük Chatbot Experience …

Text-based sentiment analysis and music emotion recognition
E Çano – arXiv preprint arXiv:1810.03031, 2018 – arxiv.org
… Page 6. vi driving style. Consequently, a context-aware music recommender system that aims to enhance driving comfort and safety was also designed. To address the second … 47 4.2 Hybrid and Context-Aware Recommender Systems . . . . . 48 …

Digital economics
K Körner, M Schattenberg, E Heymann… – … Bank Research. EU …, 2018 – dbresearch.com
… in large data sets and a broad range of applications, such as speech/natural language processing, computer vision/image recognition (which also serve as the basis for the development of virtual personal assistants such as Alexa, Siri and Cortana), recommender systems (eg in …

Artificial Intelligence for Fashion: How AI is Revolutionizing the Fashion Industry
L Luce – 2018 – books.google.com
… 2: Natural Language Processing and Conversational Shopping…..21 Natural Language Processing…..22 ELIZA…..22 Chatbots …

Virtual assistant with natural language processing capabilities
C Mas – 2018 – upcommons.upc.edu
… 12 1.2. Type of Chatbot … First, the definition of Chatbot is exposed, then the various types of Chatbots are described in order to understand which type is more appropriate and why …

ActivMetaL: Algorithm Recommendation with Active Meta Learning
L Sun-Hosoya, I Guyon… – IAL 2018 workshop …, 2018 – hal.archives-ouvertes.fr
… We adopt the point of view “collab- orative filtering” recommender systems in which the problem is brought back to a missing … Machine Learning and Artificial Intelligence are taking momentum in many application areas ranging from computer vision to chat bots, selecting the …

The Process Is Part of the Solution: Insights from the German Collaborative Project museum4punkt0
K Glinka – Museum International, 2018 – Wiley Online Library
… improve or complement the visitor jour- ney. These applications include general information services, such as a service chatbot integrated in the Facebook mes- senger platform. Another prototype is focused on knowledge transfer …

Software Power as Soft Power. A Literature Review on Computational Propaganda Effects in Public Opinion and Political Process
RM Santini, L Agostini, CE Barros… – Partecipazione e …, 2018 – siba-ese.unisalento.it
… Sadiq et al. (2017) define the term chatbot as a rudimentary software with minimal automation and basic conversation capabilities, that directs its script to social networks with the aim of attacking, manipulating facts, or simply causing noise. Ford et al …

No Rage Against the Machine: How Computer Agents Mitigate Human Emotional Processes in Electronic Negotiations
MTP Adam, T Teubner, H Gimpel – Group Decision and Negotiation, 2018 – Springer
… Examples include digital assistants (eg, Google Duplex; Solon 2018), recommender systems for electronic commerce (Xiao and Benbasat 2007), sniping bots on platforms such as eBay (Ariely et al. 2005; Roth and Ockenfels 2002), and embedded chat bots for customer and …

ActivMetaL: Algorithm Recommendation
L Sun-Hosoya, I Guyon, M Sebag – Workshop on Interactive Adaptive Learning – ceur-ws.org
… We adopt the point of view “collab- orative filtering” recommender systems in which the problem is brought back to a missing … Machine Learning and Artificial Intelligence are taking momentum in many application areas ranging from computer vision to chat bots, selecting the …

Towards Literate Artificial Intelligence
M Sachan, CMU EDU – pdfs.semanticscholar.org
… Most of those interlocutors will be humans; one will be a chatbot, cre- ated for the sole purpose of tricking the judge into thinking that it … A number of chat bots have been developed which have come close to passing the Tur- ing test – see ELIZA (Weizenbaum, 1966) and PARRY …

Cortex-AI on Blockchain
Z Chen, W Wang, X Yan, J Tian – wxappres.feeyan.com
Page 1. Cortex – AI on Blockchain The Decentralized AI Autonomous System Ziqi Chen zchen@cortexlabs.ai Weiyang Wang weiyang.wang@cortexlabs.ai Xiao Yan xiao.yan@cortexlabs.ai Jia Tian mickey@cortexlabs.ai Abstract …

Digital Technologies In Buyer-Supplier Dyads
L Cauwelier – lib.ugent.be
Page 1. DIGITAL TECHNOLOGIES IN BUYER-SUPPLIER DYADS A LITERATURE REVIEW Aantal woorden/ Word count: 34.919 Lieselot Cauwelier Studentennummer/ Student number : 01305572 Promotor/ Supervisor: Prof. dr …

Creating the city destination of the future: The case of smart Seoul
U Gretzel, J Ham, C Koo – Managing Asian Destinations, 2018 – Springer
… innovation derived from smart tourism data collected at the destination that is applied to marketing initiatives or recommender systems to which … development of various IT-based contents and services reflecting the latest IT trends, such as artificial intelligence chat bots and big …

Machine Learning in Official Statistics
M Beck, F Dumpert, J Feuerhake – arXiv preprint arXiv:1812.10422, 2018 – arxiv.org
Page 1. Machine Learning in Official Statistics Martin Beck1, Florian Dumpert2, Joerg Feuerhake3 As of 13 December 2018. Abstract In the first half of 2018, the Federal Statistical Office of Germany (Destatis) carried out a “Proof of …

Het leren van representaties voor symbolische sequenties
C De Boom – 2018 – biblio.ugent.be
Page 1. Page 2. Page 3. Het leren van representaties voor symbolische sequenties Representation Learning for Symbolic Sequences Cedric De Boom Promotoren: prof. dr. ir. B. Dhoedt, dr. ir. T. Demeester Proefschrift ingediend …

Artificial Intelligence Safety and Security
RV Yampolskiy – 2018 – taylorfrancis.com
… crashes caused by intelligent trading software,† accidents caused by self-driving cars‡ and embarrassment from chat-bots,§ which turned … recognize certain types of inputs.¶ 2017 Debt recovery system miscalculated amounts owed.** 2017 Russian language chatbot shared pro …

Introduction to Deep Learning Business Applications for Developers
A Vieira, B Ribeiro – 2018 – Springer
… 6.6 Conversational Bots (Chatbots) ….155 6.7 News Chatbots …..159 … Part 3 explores other applications of DL, including recommender systems, conversational bots, fraud, and self-driving cars …

Hands-On Machine Learning on Google Cloud Platform: Implementing smart and efficient analytics using Cloud ML Engine
G Ciaburro, K Ayyadevara, A Perrier – 2018 – books.google.com
… Checking a value against a pattern Maintaining context Chatbots architecture Natural … Dialogflow elements Agents Intent Entity Action Context Building a chatbot with Dialogflow … NLP, speech-to-text, reinforcement learning, time series, recommender systems, image classification …

Artificial Intelligence in Education: 19th International Conference, AIED 2018, London, UK, June 27–30, 2018, Proceedings
CP Rosé, R Martínez-Maldonado, HU Hoppe, R Luckin… – 2018 – books.google.com
Page 1. Carolyn Penstein Rosé Roberto Martínez-Maldonado H. Ulrich Hoppe · Rose Luckin Manolis Mavrikis· Kaska Porayska-Pomsta Bruce McLaren · Benedict du Boulay (Eds.) Artificial Intelligence in Education 19th International …

Predictive Analytics for Marketers: Using Data Mining for Business Advantage
B Leventhal – 2018 – books.google.com
Page 1. º PREDICTIVE ANALYTICS FOR Page 2. i Praise for Predictive AnAlytics for mArketers ‘This book is an invaluable aid in the journey from big data to smart data usage, which is where competitive advantage rests. Leventhal …

Measuring Short Text Semantic Similarity with Deep Learning Models
J Ge – 2018 – yorkspace.library.yorku.ca
Page 1. Measuring Short Text Semantic Similarity with Deep Learning Models Jun Ge A THESIS SUBMITTED TO THE FACULTY OF GRADUATE STUDIES IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF ARTS …

Intelligent Data Engineering and Automated Learning–IDEAL 2018: 19th International Conference, Madrid, Spain, November 21–23, 2018, Proceedings
H Yin, D Camacho, P Novais, AJ Tallón-Ballesteros – 2018 – books.google.com
… Córdoba, Gherardo Varando, Concha Bielza, and Pedro Larrañaga Novel and Classic Metaheuristics for Tunning a Recommender System for Predicting … 364 Alejandro Baldominos, Yago Saez, and Pedro Isasi Chatbot Theory: A Naïve and Elementary Theory for Dialogue …

Artificial Intelligence: How Advance Machine Learning Will Shape The Future Of Our World
C Ahmet – 2018 – books.google.com
Page 1. Artificial Intelligence How Advanced Machine Learning will Shape the Future of Our World Page 2. © Copyright 2018 – Christina Ahmet – All rights reserved. The content contained within this book may not be reproduced …

Artificial Intelligence for Business
R Akerkar – 2018 – Springer
Page 1. SPRINGER BRIEFS IN BUSINESS 123 Rajendra Akerkar Arti cial Intelligence for Business Page 2. SpringerBriefs in Business Page 3. More information about this series at http://www.springer.com/series/8860 Page 4. Rajendra Akerkar Artificial Intelligence for Business …

Data-Driven Requirements Engineering
KJ Slegten – 2018 – dspace.library.uu.nl
Page 1. Data-Driven Requirements Engineering Using Natural Language Processing to Automatically organize a large collection of User Feedback Thesis for the master program Business Informatics 2017-2018 Student: Kariem Slegten Studentnumber: 5767202 …

Learning Task-Oriented Dialog with Neural Network Methods
B Liu – 2018 – bingliu.me
… 95 xvi Page 17. Chapter 1 Introduction 1.1 Motivation and Research Problem Dialog systems, also known as conversational agents or chatbots, are playing an increasingly important role in today’s business and social life. People communicate with a dialog system …

Learning and Collaboration Technologies. Learning and Teaching: 5th International Conference, LCT 2018, Held as Part of HCI International 2018, Las …
P Zaphiris, A Ioannou – 2018 – books.google.com
Page 1. Panayiotis Zaphiris· Andri Ioannou (Eds.) Learning and Collaboration Technologies Learning and Teaching 5th International Conference, LCT 2018 Held as Part of HCI International 2018 Las Vegas, NV, USA, July 15–20, 2018, Proceedings, Part II 123 Page 2 …

Optimizing Data-to-Learning-to-Action: The Modern Approach to Continuous Performance Improvement for Businesses
S Flinn – 2018 – books.google.com
Page 1. Optimizing Data-to-Learning- to-Action The Modern Approach to Continuous Performance Improvement for Businesses — Steven Flinn Page 2. OPTIMIZING DATA-TO-LEARNING- TO-ACTION THE MODERN APPROACH …

Optimizing Data-to-Learning-to-Action
S Flinn – Springer
Page 1. The Modern Approach to Continuous Performance Improvement for Businesses — Steven Flinn Optimizing Data-to-Learning- to-Action Page 2. OPTIMIZING DATA-TO-LEARNING- TO-ACTION THE MODERN APPROACH TO CONTINUOUS PERFORMANCE …

It Is Going to Kill Us! and Other Myths About the Future of Artificial Intelligence.
RD Atkinson – IUP Journal of Computer Sciences, 2018 – search.ebscohost.com
Page 1. 7 “It Is Going to Kill Us!” and Other Myths About the Future of Artificial Intelligence “It Is Going to Kill Us!” and Other Myths About the Future of Artificial Intelligence Robert D Atkinson* * President, Information Technology …

Learning to Rank Social Bots
D Perna, A Tagarelli – Proceedings of the 29th on Hypertext and Social …, 2018 – dl.acm.org
… Machinery. ACM ISBN 978-1-4503-5427-1/18/07. . . $15.00 https://doi.org/10.1145/ 3209542.3209563 type of chat-bots employed in social media platforms to automat- ically interact with members and generate contents. Bots …

Extracting and Learning Semantics from Social Web Data
T Niebler – opus.bibliothek.uni-wuerzburg.de
Page 1. Thomas Niebler Extracting and Learning Semantics from Social Web Data Dissertation zur Erlangung des akademischen Grades eines Dok- tors der Naturwissenschaften (Dr. rer. nat.) in der Fakultät für Mathematik …

Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform
M Salvaris, D Dean, WH Tok – 2018 – books.google.com
… Take Unilever, for example: They have built a collection of chatbots with a master botto help their employees interact with human resources services and all services inside the enterprise. Jabil uses AI for quality control in the circuit board manufacturing process …

Machine Learning for Decision Makers: Cognitive Computing Fundamentals for Better Decision Making
P Kashyap – 2018 – books.google.com
Page 1. Machine Learning for Decision Makers Cognitive Computing Fundamentals for Better Decision Making ? Patanjali Kashyap Page 2. Machine Learning for Decision Makers Cognitive Computing Fundamentals for Better Decision Making Patanjali Kashyap Page 3 …

Marketplaces, markets, and market design
AE Roth – American Economic Review, 2018 – aeaweb.org
… and Varian (1997), Resnick and Zeckhauser (2002), Bolton, Greiner, and Ockenfels (2013) on reputation and recommender systems; Ausubel and … 28 Similarly, on another internet domain entirely, Microsoft had to quickly withdraw an artificial intelligence “chatbot” designed to …

Cognitive architecture of multimodal multidimensional dialogue management
A Malchanau – 2018 – d-nb.info
… While statistical dialogue systems may perform well on simple information-transfer tasks and end-to-end approaches handle well chatbot conversations, they are mostly unable to manage real-life communication in complex settings like, for example, multi-party conver- sations …

Machine Learning Applications Using Python
CS from Healthcare, P Mathur – Springer
… 216 Chapter 10: Case Studies in Retail AI ….. 217 What Are Recommender Systems? …. 217 CASE STUDY 1: Recommendation Engine Creation for Online Retail Mart ….. 218 …

Voice Shopping: The Effect of the Consumer-Voice Assistant Parasocial Relationship on the Consumer’s Perception and Decision Making
C Whang – 2018 – conservancy.umn.edu
… Page 21. 10 Chatbot: a computer program that conducts a conversation with the user (Mou & Xu, 2017) … Wohl, 1956). Recommender systems: Software that provides recommendations based on data mining and analysis techniques (Yoo & Gretzel, 2011) …

Emotional AI: The rise of empathic media
A McStay – 2018 – books.google.com
… appropriately to us. The significance of this is clearer if we consider the potential to understand and react to emotions in spoken search and natural language by chatbots and digital assistants, such as Amazon’s Alexa. This is …

A study of EU data protection regulation and appropriate security for digital services and platforms
M Westerlund – 2018 – doria.fi
Page 1. Magnus Westerlund A Study of EU Data Protection Regulation and Appropriate Security for Digital Services and Platforms M ag nus W esterlund | A Study of EU Data Protection Regulation and Appropriate Security for Dig ital Services and Platforms | 2018 Page 2 …

Artificial intelligence in the sport industry
J MOSELE – 2018 – politesi.polimi.it
Page 1. 1 POLITECNICO DI MILANO Management Engineering Department ARTIFICIAL INTELLIGENCE IN THE SPORT INDUSTRY Supervisor: Prof. Emanuele Lettieri Co-Advisor: Dott. Claudio Rorato Ing. Federico Iannella Master Degree Thesis of: Jacopo Mosele 875678 …

Learners’ self-assessment and metacognition when using an open learner model with drill down
MD Johnson – 2018 – etheses.bham.ac.uk
Page 1. 1 Learners’ Self-Assessment and Metacognition when Using an Open Learner Model with Drill Down MATTHEW DAVID JOHNSON A thesis submitted to The University of Birmingham for the degree of DOCTOR OF PHILOSOPHY …

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