Recommender Dialog Systems 2015


Notes:

  • Negotiation dialogs
  • Recommendation dialogs

Wikipedia:

References:

See also:

Recommender Dialog Systems 2013Recommender Dialog Systems 2014


Example-based chat-oriented dialogue system with personalized long-term memory J Bang, H Noh, Y Kim, GG Lee – 2015 International Conference …, 2015 – ieeexplore.ieee.org … 8] or personalized recommendation systems [9], [10]. The user model is designed based on a specific domain model, as the study is focused on information retrieval or personalized search. However, a domain-specific user model is not suitable for chat-oriented dialog system. … Cited by 7 Related articles All 2 versions

Evaluating prerequisite qualities for learning end-to-end dialog systems J Dodge, A Gane, X Zhang, A Bordes, S Chopra… – arXiv preprint arXiv: …, 2015 – arxiv.org … a dialog system should have but also that an unambiguous answer is expected after each dialog act. In that sense, it follows the the notion of dialog evaluation by a reference answer introduced in (Hirschman et al., 1990). The application of movie recommender systems is … Cited by 11 Related articles All 3 versions

Leveraging behavioral patterns of mobile applications for personalized spoken language understanding YN Chen, M Sun, AI Rudnicky… – Proceedings of the 2015 …, 2015 – dl.acm.org … Matrix factorization techniques for recommender systems. Computer, (8):30–37, 2009. [9] S. Kousidis, C. Kennington, T. Baumann, H. Buschmeier, S. Kopp, and D. Schlangen. A multimodal in-car dialogue system that tracks the driver’s attention. In ICMI, 2014. … Cited by 11 Related articles All 4 versions

Making the system a relational partner: users’ ascriptions in individualization-focused interactions with companion-systems J Krüger, M Wahl, J Frommer – interaction, 2015 – med.uni-magdeburg.de … For recommender systems [18] describe a mediation of self-disclosing behavior by users’ individual interpretations of system characteristics … The simulated speech-based interactive dialog system should represent a kind of preliminary step towards visionary Companion-systems … Cited by 6

Matrix factorization with knowledge graph propagation for unsupervised spoken language understanding YN Chen, WY Wang, A Gershman… – Proceedings of ACL- …, 2015 – aclweb.org … yvchen, yww, anatoleg, air}@cs.cmu.edu Abstract Spoken dialogue systems (SDS) typically require a predefined semantic ontology to train a spoken language understanding (SLU) module. In addition to the anno- tation cost … Cited by 19 Related articles All 16 versions

CLARA: a multifunctional virtual agent for conference support and touristic information LF D’Haro, S Kim, KH Yeo, R Jiang… – … Dialog Systems and …, 2015 – Springer … (eds.), Natural Language Dialog Systems and Intelligent Assistants … 2014) and a restaurant recommendation system (Kim and Banchs 2014), we decided to include these two functionalities into the new system, allowing the attendees to find useful information about sightseeing … Cited by 5 Related articles All 7 versions

On the importance of subtext in recommender systems P Grasch, A Felfernig – icom, 2015 – degruyter.com … Licensed Access. On the Importance of Subtext in Recommender Systems. … Published Online: 2015-04-01. Abstract. Conversational recommender systems have been shown capable of allowing users to navigate even complex and unknown application domains effectively. … Cited by 2 Related articles All 4 versions

Open challenges in modelling, analysis and synthesis of human behaviour in human–human and human–machine interactions A Vinciarelli, A Esposito, E André, F Bonin… – Cognitive …, 2015 – Springer … 2014;5–8. 20. Bos J, Klein E, Lemon O, Oka T. DIPPER: description and formalisation of an information-state update dialogue system architecture. … Tkal?i? M, Burnik U, Košir A. Using affective parameters in a content-based recommender system for images. … Cited by 11 Related articles All 12 versions

A 3D Audio Augmented Reality System for a Cultural Heritage Management and Fruition D D’Auria, D Di Mauro, DM Calandra… – Journal of Digital …, 2015 – researchgate.net … 2.4. Dialog System and Data Managing In order to reach a high level of natural interaction without diverting the user visual attention, we developed a dialog system based on a Finite State Automata and that is able to provide a widespread … A multimedia recommender system. … Cited by 4 Related articles All 4 versions

Tutorial on personalization for behaviour change J Masthoff, J Vassileva – … of the 20th International Conference on …, 2015 – dl.acm.org … (2007) 33. Nguyen, H., Masthoff, J. Designing persuasive dialogue systems: Using argumentation with care. Persuasive technology (2008) 34. … Proceedings of the fourth ACM conference on Recommender systems – RecSys ’10, ACM Press (2010), 175. 36. … Cited by 2 Related articles All 2 versions

Data personalization G Koutrika – Data Management in Pervasive Systems, 2015 – Springer … Dialogue systems can support a broad range of applications in education, healthcare, and entertainment, such as responding to customers’ questions about products and services and … It is also the focus of user models/profiles in recommender systems and databases. … Cited by 2 Related articles All 3 versions

Building memory with concept learning capabilities from large-scale knowledge base J Shi, J Zhu – arXiv preprint arXiv:1512.01173, 2015 – arxiv.org … 2, 3, 4]. One of those is relational learning, which aims at modeling relational data such as user-item relations in recommendation systems, social networks … to learn what a certain name used by human means, is obviously highly useful, particularly in a KB-based dialog system. … Cited by 2 Related articles All 4 versions

Analyzing crowdsourced assessment of user traits through Twitter posts L Flekova, S Giorgi, J Carpenter… – Third AAAI …, 2015 – pdfs.semanticscholar.org … Applications of automatically inferring user traits range from recommender to dialogue systems which can produce tailored content to different … and to develop tailored content for different demographic groups, which is very important for recommender systems, dialogue agents or … Cited by 2 Related articles All 7 versions

Cogwatch: Intelligent agent-based system to assist stroke survivors during tea-making EMD Jean-Baptiste, M Russell, J Howe… – SAI Intelligent …, 2015 – ieeexplore.ieee.org … [8] P. Resnick and H. Varian, “Recommender systems.” in Special issue of Communications of the ACM., 1997. … [25] B. Thomson and S. Young, “Bayesian update of dialogue state: A POMDP framework for spoken dialogue systems.” Computer Speech and Language, pp. … Cited by 2 Related articles All 4 versions

Explaining recommendations: Design and evaluation N Tintarev, J Masthoff – Recommender Systems Handbook, 2015 – Springer … 10.1 Introduction In recent years, there has been an increased interest in more user-centered evaluation metrics for recommender systems such as those mentioned in [49]. … (eds.), Recommender Systems Handbook, DOI 10.1007/978-1-4899-7637-6_10 353 Page 2. 354 … Cited by 10 Related articles All 3 versions

Expert Recommendations Based on Opinion Mining of User?Generated Product Reviews A Stavrianou, C Brun – Computational Intelligence, 2015 – Wiley Online Library … We propose to use fine-grained information such as opinions and suggestions extracted using natural language processing techniques from user reviews about products, to improve a recommendation system. While typical … Cited by 6 Related articles All 3 versions

Review and analysis of machine learning and soft computing approaches for user modeling M Potey, PK Sinha – International Journal of Web & Semantic …, 2015 – search.proquest.com … Aroyo et. al. [30] provided a method for automatic acquisition of user knowledge through an ontology based dialog system. An … Roh et. al. [60] used SOM to create a recommendation system for movies and Changchien et. al. [61 … Cited by 1 Related articles All 3 versions

Automated identification of relative social status K Metcalf, D Leake – Proceedings of the Third Annual Conference on …, 2015 – Citeseer … dialogue systems that interact with groups of people, enabling such systems to respond appropriately given social relationships. For example, if an automated system is working as part of a project team or a military unit, then a relationship-aware recommendation system could … Cited by 1 Related articles All 7 versions

Data mining and education KR Koedinger, S D’Mello… – Wiley …, 2015 – Wiley Online Library Skip to Main Content. Wiley Online Library. Log in / Register. Log In E-Mail Address Password Forgotten Password? Remember Me. … Cited by 11 Related articles All 6 versions

Unsupervised Assistive and Adaptive Intelligent Agent in Smart Environment S Pais, J Casal, R Ponciano… – Proceedings of the …, 2015 – academia.edu … Indeed, the development of a spoken dialogue system requires the integration of several components of the spoken language … 15] SE Middleton, DC De Roure, and NR Shadbolt, “Capturing knowledge of user preferences: Ontologies in recommender systems,” in Proceedings … Cited by 2 Related articles All 4 versions

A TV Program Discovery Dialog System Using Recommendations D Ramachandran, M Fanty, R Provine, PZ Yeh… – 16th Annual Meeting of …, 2015 – aclweb.org … 2014. An end-to-end dialog system for tv pro- gram discovery. In SLT. N. Tintarev and J. Masthoff. 2007. A survey of expla- nations in recommender systems. In Data Engineer- ing Workshop, 2007 IEEE 23rd International Con- ference on, pages 801–810. IEEE. 437 Related articles All 9 versions

A Multimodal Framework for Recognizing Emotional Feedback in Conversational Recommender Systems B De Carolis, M de Gemmis, P Lops – … of the 3rd Workshop on Emotions …, 2015 – dl.acm.org … of the 4th IEEE workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems (PIT ’08 … Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems, in conjunction with the 7th ACM … Related articles

Sentiment Analysis for Dynamic User Preference Inference in Spoken Dialogue Systems GV des Vignes – pdfs.semanticscholar.org … pref- erences in a spoken dialogue system for searching items of interest. A fading method allows for the interests to keep track of the evolution of user behavior. We then leverage the opinion of the user about the suggested items to improve the recommender system and tune …

Innovative Applications of Artificial Intelligence 2014. DJ Stracuzzi, D Gunning – AI Magazine, 2015 – search.ebscohost.com … The authors also discuss evalua- tion of their system’s functionality and the impact of the dialogue system with user studies. … These include projects in anomaly and fraud detection, con- textual intelligence, recommendation systems, and tools for smart organizations. … All 4 versions

User Modeling in Conversational Interfaces P Langley – isle.org … home or office, say when driving or walking. However, current dialogue systems are limited in that they: • Offer limited forms of interaction with users … 3 Page 4. Recommender systems have been available on the World Wide Web since the 1990s, but they are not conversational. … All 2 versions

A robust spoken Q&A system with scarce in-domain resources LF D’Haro, S Kim, RE Banchs – 2015 Asia-Pacific Signal and …, 2015 – ieeexplore.ieee.org … third ACM conference on Recommender systems, pp. 117-124. ACM New York, NY, USA, 2009. [5] R. Banchs, and H. Li. “IRIS: a chat-oriented dialogue system based on the vector space model,” in Proceedings of the ACL 2012 System Demonstrations. … Related articles All 2 versions

Interactive search with contextual navigation recommendations T Könik, Y Medoff, R Mukherjee – Proceedings of the 2015 International …, 2015 – dl.acm.org … 2. Jannach, D. and Zanker, M. Recommender Systems: An Introduction, 2010. … http://lucene.apache. org/solr/ 5. Lison, P. and Meena, R. Spoken dialogue systems: the new frontier in human-computer interaction XRDS: Cross- roads, The ACM Magazine for Students – Natural Lan … Related articles All 4 versions

Strategies to cope with errors in human-machine spoken interactions: using chatbots as back-off mechanism for task-oriented dialogues AI Niculescu, RE Banchs – errare2015.racai.ro … Therefore, understanding er- rors per se could help increasing the naturalness and realism of the interactions with a dialogue system, pro- vided they are handled properly: while … Example 2 System: “Hello, welcome to R3: Restaurant Reservation and Recommendation System. … Related articles

A framework to support multiple levels of interaction D Di Mauro – 2015 – pdfs.semanticscholar.org … The state of the art about dialog systems could be represented by OpenDial [9]. This system will be used as dialog engine. Proc. … Implicit feedback for recommender systems. In Proceedings of the AAAI workshop on recommender systems, pages 81–83, 1998. Proc. … Related articles All 4 versions

Leveraging Behavioral Patterns of Mobile Applications for Personalized Spoken Language Understanding YNCMS Alexander, IRA Gershman – researchgate.net … Matrix factorization techniques for recommender systems. Computer, (8):30–37, 2009. [9] S. Kousidis, C. Kennington, T. Baumann, H. Buschmeier, S. Kopp, and D. Schlangen. A multimodal in-car dialogue system that tracks the driver’s attention. In ICMI, 2014. … Related articles All 4 versions

Speech-based Recommender Systems P Grasch – grasch.net … Further navigation is possible by critiquing any of the displayed items. A textual natural language recommender system was further discussed by Wärnestål in [44], focusing on optimizing the dialog system, with equally promising results. … Related articles

Free from Publisher A review of the role of sensors in mobile context-aware recommendation systems S Ilarri, R Hermoso, R Trillo-Lado… – International Journal of …, 2015 – dl.acm.org … A Review of the Role of Sensors in Mobile Context-Aware Recommendation Systems … Recommendation systems are specialized in offering suggestions about specific items of different types (eg, books, movies, restaurants, and hotels) that could be interesting for the user. … Cited by 2 Related articles All 6 versions

Analysis of dialogue for acquiring personal characteristics toward co-occurrence matching R Gomi, A Suzuki, E Sato-Shimokawara… – 2015 Conference on …, 2015 – ieeexplore.ieee.org … There are the information recommendation systems by using cooperation filtering method. … Fig.3 shows flowchart of matching. IV. EXPERIMENTS AND RESULTS For this experiment in this study, the authors used dialogue system which was installed in an android device. … Cited by 1 Related articles

A Dialogue Game for Recommendation with Adaptive Preference Models C Labreuche, N Maudet, W Ouerdane… – Proceedings of the 2015 …, 2015 – dl.acm.org … systems Keywords Recommender system; Communication protocol; Argumen- tation 1 … different color.”). Many recommender systems do not explicitly con- struct a preference model, and thus have no memory of user feedback. … Related articles All 13 versions

Minimal Interaction Search in Recommender Systems B Kveton, S Berkovsky – … of the 20th International Conference on …, 2015 – dl.acm.org Page 1. Minimal Interaction Search in Recommender Systems … ABSTRACT While numerous works study algorithms for predicting item ratings in recommender systems, the area of the user- recommender interaction remains largely under-explored. … Cited by 1 Related articles All 5 versions

Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems YN Chen – target, 2015 – cs.cmu.edu Page 1. Unsupervised Learning and Modeling of Knowledge and Intent for Spoken Dialogue Systems Yun-Nung (Vivian) Chen Ph.D. Thesis Proposal … 69 xiii Page 20. xiv Page 21. 1Introduction 1.1 Spoken Dialogue System … Related articles All 10 versions

A proposal for improving spoken dialog systems using context information fusion I Chairi, D Griol, J García… – Information Fusion (Fusion …, 2015 – ieeexplore.ieee.org … A spoken dialog system try to speech similar to that between humans where dialog manager decides the next action of the … Examples of application can be remote sensing data, computer security, financial risk assessment, fraud detection, recommender systems, and medical … Related articles

Comparison of Emoticon Recommendation Methods to Improve Computer-Mediated Communication Y Urabe, R Rzepka, K Araki – Recommendation and Search in Social …, 2015 – Springer … The emoticon recommendation system is not only useful for assisting users to choose an appropriate emoticon for Japanese messages, but also can be … Third, it is possible to use our system with a text-based dialogue system in order to express the feeling using emoticons and … Cited by 1 Related articles All 3 versions

Adaptive selection from multiple response candidates in example-based dialogue M Mizukami, H Kizuki, T Nomura… – … IEEE Workshop on …, 2015 – ieeexplore.ieee.org … Example-based dialogue modeling (EBDM) is a data-driven approach for deploying dialogue systems that generates re- sponses from a … Collaborative filtering is a technique used in recommendation systems to estimate a user’s preference based on the preference of other … Related articles All 2 versions

Exploiting User Behavior Changes in Privacy Disclosure by Modified Clustering Technique H Wu, X Wang, Z Peng, Q Li – International Journal of Security and Its …, 2015 – sersc.org … An exploration of security and privacy issues in recommender systems”, Lecture Notes in Computer Science, vol. 3995, no. 14, (2006). … 5 (2015) 194 Copyright ? 2015 SERSC [14] A. Kobsa and W. Wahlster, “User models in dialog systems”, Springer-Verlag, New York, (1989). … Related articles All 2 versions

Investigating Ways of Interpretations of Artificial Subtle Expressions Among Different Languages: A Case of Comparison Among Japanese, German, … T Komatsu, R Prada, K Kobayashi, S Yamada… – mindmodeling.org … Incorporating Discourse Features into Confidence Scoring of Intention Recognition Results in Spoken Dialogue Systems, Speech Communication … Capturing knowledge of user preferences: Ontologies in recommender systems, Proceedings of the 1st Conference on Knowledge … Related articles All 3 versions

Followee recommendation based on topic extraction and sentiment analysis from tweets Y Yamamoto, T Kumamoto, A Nadamoto – Proceedings of the 17th …, 2015 – dl.acm.org … [7] have proposed a followee recommender system based on an algorithm that explores the Twitter network topology representing the follower-followee relationship. … [16] have proposed a method for inferring the emotions of a speaker conversing with a dialog system from the se … Related articles

Biometrics in human-machine interaction WA Shier, SN Yanushkevich – Information and Digital …, 2015 – ieeexplore.ieee.org … form. The choice of the output form depends on the specific application area. For example, in biometric-based recommender systems, the output of each decision making assistant is represented by a set of questions. Some popular … Cited by 1 Related articles

Content Finder Assistant R Laroche – Intelligence in Next Generation Networks (ICIN), …, 2015 – ieeexplore.ieee.org … Unlike Reinforce- ment Learning dialogue systems, CFAsT tools do not pretend to generate systems that outperform handcrafted dialogue sys- tems. … to enable multi-field queries with a topology that is optimised over experience, thanks to a recommender system [17] and to … Cited by 1 Related articles

Intelligent Decision Support Systems A Kaklauskas – Biometric and Intelligent Decision Making Support, 2015 – Springer … 4):394–401. Jung S, Lee C, Kim S, Lee GG (2008) DialogStudio: a workbench for data-driven spoken dialog system development and … C, Stankevic T, Matuliauskaite A, Bartkiene L, Zemeckyte L, Paliskiene R, Cerkauskiene R, Gribniak V (2013) Recommender system to analyze … Cited by 3 Related articles

A Cloud-Based Mobile Anger Prediction Model YC Yu – Network-Based Information Systems (NBiS), 2015 18th …, 2015 – ieeexplore.ieee.org … 1Y4. [21] F. BurNhardt, M. van Ballegooy, KP engelbrecht, T. Polzehl, and J. stegmann, 9emotion detection in dialog systems: Applications, strategies … [26] shani, G., & Gunawardana, A., evaluating recommendation systems Recommender systems handbooN, springer, 2011, pp. … Related articles All 2 versions

Computing Semantic Textual Similarity Based on Partial Textual Entailment M V?ta – researchgate.net … This general task is being solved in a wide range of practical applica- tions ranging from recommender systems to plagiarism detection or … Textual Entail- ment Challenge at SemEval-2013 Task 7. They were inspired by developments of tutorial dialogue systems ( … Related articles

Introducing Analogy in Abstract Argumentation PD Budán, MV Martinez, MCD Budán, GR Simari – WL4AI-2015, 2015 – digital.csic.es … The recommendation system compare the common properties of the edible seeds, their benefits, and contraindications. … reasoning using argumentation schemes necessarily involves developing a method combining issues of non-monotonic logic and dialogue systems. … Cited by 1 Related articles All 2 versions

An empirical investigation to examine the usability issues of using adaptive, adaptable, and mixed-initiative approaches in in-teractive systems M Alshumari – 2015 – dora.dmu.ac.uk … 62 3.9 Online Information Systems ….. 63 3.10 Information Retrieval and Recommender Systems ….. 63 3.11 Online Help Systems ….. 64 … Related articles All 4 versions

An Auto-Encoder for Learning Conversation Representation Using LSTM X Zhou, B Hu, Q Chen, X Wang – International Conference on Neural …, 2015 – Springer … V., Lemon, O.: Natural language generation as planning under uncertainty for spoken dialogue systems. In: Proceedings of EACL, pp. 683–691 (2009). 5. Liu, J., Seneff, S., Zue, V.: Dialogue-oriented review summary generation for spoken dialogue recommendation systems. … Related articles

Multidimensional sentiment calculation method for Twitter based on emoticons … Dr Maria Indrawan-Santiago, Dr Gabriele … – … Journal of Pervasive …, 2015 – emeraldinsight.com … Positive/negative sentiment is sufficient to ascertain the reputation of products in the marketing of products or is effective as information for recommendation systems. … (2008) propose a method for inferring the emotion of a speaker conversing with a dialogue system from the … Cited by 3 Related articles

What we talk about when we talk about games: Bottom-up game studies using natural language processing JO Ryan, E Kaltman, M Mateas… – Proc. …, 2015 – pdfs.semanticscholar.org … 2, Eric Kaltman1, Michael Mateas1, and Noah Wardrip-Fruin1 1 Expressive Intelligence Studio 2 Natural Language and Dialogue Systems Lab University … Meidl, Lytinen, and Rai- son use the former’s co-cluster feature representation to build a game recommender system [31]. … Cited by 7 Related articles All 4 versions

Automatic online evaluation of intelligent assistants J Jiang, A Hassan Awadallah, R Jones… – Proceedings of the 24th …, 2015 – dl.acm.org … interaction styles, voice I/O. Keywords Voice-activated intelligent assistant; evaluation; user experience; mobile search; spoken dialog system. … Evaluation is a central component of many related applications, eg, search engines, Q&A systems, and recommendation systems. … Cited by 11 Related articles All 9 versions

Designing an over-the-counter consumer decision-making tool for older adults AM Martin-Hammond, T Abegaz, JE Gilbert – Journal of biomedical …, 2015 – Elsevier … 4). Both were designed as multimodal systems that allow touch input and provided both visual and audio output. The first version was designed as a recommender system. … Recommender system prototype. Recommender system prototype. Fig. 4. … Related articles All 5 versions

Personalized Search: Reconsidering the Value of Open User Models J Ahn, P Brusilovsky, S Han – … of the 20th International Conference on …, 2015 – dl.acm.org Page 1. Personalized Search: Reconsidering the Value of Open User Models Jae-wook Ahn IBM TJ Watson Research Center 1101 Kitchawan Rd Yorktown Heights, NY 10538 jaewook.ahn@us.ibm.com Peter Brusilovsky University … Cited by 1 Related articles All 6 versions

Succeeding metadata based annotation scheme and visual tips for the automatic assessment of video aesthetic quality in car commercials F Fernández-Martínez, AH García… – Expert Systems with …, 2015 – Elsevier … An important work on video recommendation systems was carried out by Adomavicius and Tuzhilin in 2005 (Adomavicius & Tuzhilin, 2005), in which they performed a survey of the state of the art at that moment and proposed some improvements. … Cited by 3 Related articles All 7 versions

Diffusion of Electronic Health Records C Nøhr, SK Andersen, K Bernstein… – vbn.aau.dk … R. Gaikwad, J. Warren and T. Kenealy Decision Support in Health Information Systems Development of Case-Based Medication Alerting and Recommender System: A New … A New Architecture for Health-Care Dialogue Systems 1063 LM Rojas-Barahona and T. Giorgino xvii … Related articles All 2 versions

Scalable Intelligence for Scheduling Systems BMA Cunha – 2015 – recipp.ipp.pt Page 1. Scalable Intelligence for Scheduling Systems BRUNO MIGUEL ALMEIDA CUNHA Outubro de 2015 Page 2. Scalable Intelligence for Scheduling Systems Bruno Miguel Almeida Cunha Dissertation to obtain the Master of Science degree in … Related articles All 2 versions

Modeling citizens’ urban time-use using adaptive hypermedia surveys to obtain an urban planning, citizen-centric, methodological reinvention ML Marsal-Llacuna, R Fabregat-Gesa – Time & Society, 2015 – tas.sagepub.com Page 1. TASJ150017.3d (TAS) [PREPRINTER stage] Article Modeling citizens’ urban time-use using adaptive hypermedia surveys to obtain an urban planning, citizen-centric, methodological reinvention Maria-Llu?sa Marsal … Cited by 1 Related articles

Improving User Interaction in Interactive TV Based on Ethnographic Insights From Real-Life Problems J Park – International Journal of Human-Computer Interaction, 2015 – Taylor & Francis … Burke, R. (2002). Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction, 12, 331–370. … Ibrahim, A., & Johansson, P. (2003). Multimodal dialogue systems: A case study for interactive TV. … Cited by 1 Related articles

Building new computational models to support health behavior change and maintenance: new opportunities in behavioral research D Spruijt-Metz, E Hekler, N Saranummi, S Intille… – Translational behavioral …, 2015 – Springer … 2010. ACM. 58. Bouneffouf D, Bouzeghoub A, Gançarski AL. Exploration/exploitation trade-off in mobile context-aware recommender systems, in AI 2012: Advances in Artificial Intelligence. 2012; Springer. p. 591–601. 59. Bandura A. Social cognitive theory. … Cited by 18 Related articles All 14 versions

Scaling RDF Triple Stores in Size and Performance: Modeling SPARQL Queries as Graph Homomorphism Routines VG Castellana, J Weaver, A Morari, A Tumeo… – Big Data …, 2015 – books.google.com Page 358. Chapter 14 Scaling RDF Triple Stores in Size and Performance: Modeling SPARQL Queries as Graph Homomorphism Routines Vito Giovanni Castellana?, 1, Jesse Weaver?, Alessandro Morari?, Antonino Tumeo … Related articles

Automatic detection of social behavior of museum visitor pairs E Dim, T Kuflik – ACM Transactions on Interactive Intelligent Systems ( …, 2015 – dl.acm.org … The group modeling concept is a natural extension of the user model, which may support several aspects of group-related studies, such as recommendation systems, collaborative interaction systems, group filtering systems, and collaborative learning systems [Jameson and … Cited by 9 Related articles

Big Data–Driven Natural Language–Processing Research and Applications V Gudivada, D Rao, V Raghavan – Big Data Analytics, 2015 – books.google.com … Translation Information Extraction Topic Modeling Text Summarization Document Clustering Document Classification Question Answering Systems Dialog Systems Natural Language User Inter- faces Email Spam Detection Recommender Systems Educational Applications … Cited by 7 Related articles

Reports of the AAAI 2014 Conference Workshops SV Albrecht, AMS Barreto, D Braziunas… – AI …, 2015 – go.galegroup.com … the major theme of papers presented at the workshop was interactive robots, interactive games and dialogue systems were other … of artificial intelligence and database systems, such as decision support, multiagent systems, social choice, recommender systems and elicitation … All 5 versions

Emotional Agents–State of the Art and Applications M Ivanovi?, Z Budimac, M Radovanovi?… – Computer Science and …, 2015 – 147.91.177.25 … Generally, it is an interesting idea to provide suggestions or recommendations for the preferred websites based on the user?s emotional behaviors. An efficient recommendation system based on emotional web browsing agent is presented in [79]. … Related articles All 4 versions

The use of Natural Language Processing techniques to support Health Literacy: an evidence-based review P Moreda, E Lloret – 2015 – rua.ua.es Page 1. The use of Natural Language Processing techniques to support Health Literacy: an evidence-based review Paloma Moreda, Elena Lloret Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain Abstract …

Multiple topic identification in human/human conversations X Bost, G Senay, M El-Bèze, R De Mori – Computer Speech & Language, 2015 – Elsevier The paper deals with the automatic analysis of real-life telephone conversations between an agent and a customer of a customer care service (ccs). The applicati. Cited by 1 Related articles All 3 versions

Recurrent Reinforcement Learning: A Hybrid Approach X Li, L Li, J Gao, X He, J Chen, L Deng, J He – arXiv preprint arXiv: …, 2015 – arxiv.org Page 1. Recurrent Reinforcement Learning: A Hybrid Approach Xiujun Li1, Lihong Li2, Jianfeng Gao2, Xiaodong He2, Jianshu Chen2, Li Deng2, Ji He3 lixiujun@cs. wisc.edu {lihongli, jfgao, xiaohe, jianshuc, deng}@microsoft … Cited by 4 Related articles All 3 versions

GUDM: Automatic generation of unified datasets for learning and reasoning in healthcare R Ali, MH Siddiqi, M Idris, T Ali, S Hussain, EN Huh… – Sensors, 2015 – mdpi.com Next Article in Journal Augmented Robotics Dialog System for Enhancing Human–Robot Interaction. Previous Article in Journal Using Hand Grip Force … the above mentioned issues, privacy is also one of the key concerns of a cloud-based clinical recommendation system due to … Cited by 1 Related articles All 14 versions

Adapting Progress Feedback and Emotional Support to Learner Personality M Dennis, J Masthoff, C Mellish – International Journal of Artificial …, 2015 – Springer Page 1. Int J Artif Intell Educ DOI 10.1007/s40593-015-0059-7 ARTICLE Adapting Progress Feedback and Emotional Support to Learner Personality Matt Dennis1 ·Judith Masthoff1 ·Chris Mellish1 © International Artificial Intelligence in Education Society 2015 … Cited by 10 Related articles

A stimulus-response framework for robot control M Gianni, GJM Kruijff, F Pirri – ACM Transactions on Interactive …, 2015 – dl.acm.org … stimuli, in the sense that they trigger some alert on the information process transduced by an executive process of an active robot component such as, for the example, the battery, the WiFi, the attention system, the mapping system, the engines, the dialog system, the interface, or … Cited by 3 Related articles

Understanding Human-Machine Networks: A Cross-Disciplinary Survey M Tsvetkova, T Yasseri, ET Meyer, JB Pickering… – arXiv preprint arXiv: …, 2015 – arxiv.org Page 1. Understanding Human-Machine Networks: A Cross-Disciplinary Survey MILENA TSVETKOVA, Oxford Internet Institute, University of Oxford TAHA YASSERI, Oxford Internet Institute, University of Oxford ERIC T. MEYER … Related articles All 3 versions

[BOOK] Biometric and intelligent decision making support A Kaklauskas – 2015 – Springer … There are also deliberations about the Biometric and Intelligent Self-Assessment of Student Progress System, Recommender System to Analyze Student’s Academic Performance, Student Progress Assessment with the Help of an Intelligent Pupil Analysis System and Web … Cited by 12 Related articles All 4 versions

Structural information aware deep semi-supervised recurrent neural network for sentiment analysis W Rong, B Peng, Y Ouyang, C Li, Z Xiong – Frontiers of Computer Science, 2015 – Springer Page 1. Front. Comput. Sci., 2015, 9(2): 171–184 DOI 10.1007/s11704-014-4085-7 Structural information aware deep semi-supervised recurrent neural network for sentiment analysis Wenge RONG1,2, Baolin PENG1, Yuanxin OUYANG 1,2, Chao LI1,2, Zhang XIONG1,2 … Cited by 3 Related articles All 4 versions

Automated Quality Assurance of Non-Functional Requirements for Testability A Rashwan – 2015 – spectrum.library.concordia.ca Page 1. AUTOMATED QUALITY ASSURANCE OF NON-FUNCTIONAL REQUIREMENTS FOR TESTABILITY ABDERAHMAN RASHWAN A THESIS IN THE DEPARTMENT OF COMPUTER SCIENCE AND SOFTWARE ENGINEERING … Cited by 1 Related articles All 3 versions

[BOOK] Advances in Artificial Intelligence and Soft Computing G Sidorov, SN Galicia-Haro – 2015 – Springer Page 1. Grigori Sidorov Sofía N. Galicia-Haro (Eds.) 123 LNAI 9413 14th Mexican International Conference on Artificial Intelligence, MICAI 2015 Cuernavaca, Morelos, Mexico, October 25–31, 2015 Proceedings, Part I Advances in Artificial Intelligence and Soft Computing … Related articles All 2 versions

[BOOK] Advances in Artificial Intelligence and Its Applications: 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, … OP Lagunas, OH Alcántara, GA Figueroa – 2015 – books.google.com … Harmony Search and a Greedy Local Optimizer . . . . . 52 Martha Mendoza, Carlos Cobos, and Elizabeth León SVD-LDA: Topic Modeling for Full-Text Recommender Systems. . . . . 67 Sergey Nikolenko Related articles

Evolving the Ecosystem of Personal Behavioral Data JS Wiese – 2015 – repository.cmu.edu … 18 2.2 User Modeling ….. 20 2.3 Recommender Systems ….. 21 2.4 Lifelogging ….. … Related articles

Semantic similarity from natural language and ontology analysis S Harispe, S Ranwez, S Janaqi… – Synthesis Lectures on …, 2015 – morganclaypool.com … Spoken Dialogue Systems Kristiina Jokinen and Michael McTear 2009 … From gene analysis to recommendation systems, semantic measures have recently been found to cover a broad field of applications and are now essential metrics for leverage data mining, data analysis … Cited by 19 Related articles All 6 versions

[BOOK] Computational Linguistics and Intelligent Text Processing: 16th International Conference, CICLing 2015, Cairo, Egypt, April 14-20, 2015, Proceedings A Gelbukh – 2015 – books.google.com … 285 Donato Hernández Fusilier, Manuel Montes-y-Gómez, Paolo Rosso, and Rafael Guzmán Cabrera Content-Based Recommender System Enriched with Wordnet Synsets … 348 Rivindu Perera and Parma Nand A Dialogue System for Telugu, a Resource-Poor Language … Related articles All 2 versions

Reflective, deliberative agent-based information gathering AD Eck – 2015 – digitalcommons.unl.edu Page 1. University of Nebraska – Lincoln DigitalCommons@University of Nebraska – Lincoln … Related articles All 3 versions