Conversational Recommender Systems 2014


Conversational Recommenders (Recommender System)

See also:

Conversational Agent 2010 | Conversational Agent 2011 | Conversational Agent Timeline | Conversational Expert | Conversational Interfaces 2011 | Conversational Systems | Google Patents Search for Conversational Agents | Recommender Dialog Systems 2011


A framework of conversational recommender system based on user functional requirements DH Widyantoro, ZKA Baizal – Information and Communication …, 2014 – ieeexplore.ieee.org Abstract—Specifying requirements based on technical features of the product are frequently difficult for most customers in purchasing a multi-function and multi-feature products. A more natural way to identify customers’ needs is by asking what they really want to use with the … Cited by 3 Related articles

Mining user trails in critiquing based recommenders SR Vasudevan, S Chakraborti – … of the companion publication of the …, 2014 – dl.acm.org … In most conversational recommender sys- tems, users leave behind trails as they explore the product space. … Springer, 2013. [7] K. McCarthy, J. Reilly, L. McGinty, and B. Smyth. On the dynamic generation of compound critiques in conversational recommender systems. … Cited by 3 Related articles All 4 versions

Active learning strategies for exploratory mobile recommender systems B Lamche, U Trottmann, W Wörndl – … of the 4th Workshop on Context- …, 2014 – dl.acm.org … of mobile recommender systems. The rest of the paper is organized as follows. We first introduce important foundations of conversational recommender systems and summarize our literature review. Next, we explain our developed … Cited by 7 Related articles All 2 versions

How should I explain? A comparison of different explanation types for recommender systems F Gedikli, D Jannach, M Ge – International Journal of Human-Computer …, 2014 – Elsevier … 2.1. Efficiency. An explanation is usually considered to be efficient when it helps the user to decide more quickly or when it helps to reduce the cognitive effort required in the decision process. In the context of conversational recommender systems, Thompson et al. … Cited by 13 Related articles All 7 versions

Adapting autonomous behavior using an inverse trust estimation MW Floyd, M Drinkwater, DW Aha – Computational Science and Its …, 2014 – Springer … 739 Conversational recommender systems [16] use interactions with a user to tailor recommendations to the user’s preferences. These systems make initial recom- mendations and then iteratively improve those recommendations through a dia- log with the user. … Cited by 2 Related articles All 6 versions

Improving the prediction of users’ disclosure behavior… by making them disclose more predictably? H Wu, BP Knijnenburg, A Kobsa – Symposium on Usable Privacy and …, 2014 – usabart.nl … find too difficult to understand and use. 2.2 Avoiding the cold start problem A privacy adaptation procedure as presented in the introduction is essentially a conversational recommender system. In its purest form, such a recommender … Cited by 3 Related articles All 5 versions

Experiments on user experiences with recommender interfaces L Chen, P Pu – Behaviour & Information Technology, 2014 – Taylor & Francis … doi: 10.1007/s10462-005-4614-8 [CrossRef], [Web of Science ®] View all references). Along this direction, Zhang and Pu (200662. Zhang, J., Pu, P. (2006). A comparative study of compound critique generation in conversational recommender systems. … Cited by 3 Related articles All 5 versions

An approach to improve user experience with conversational recommenders through a 3D virtual environment D Contreras, M Salamó, I Rodríguez… – Proceedings of the XV …, 2014 – dl.acm.org Abstract Nowadays e-commerce websites offer users such a huge amount of products, which far from facilitating the buying process, actually make it more difficult. Hence, recommenders, which learn from users’ preferences, are consolidating as valuable …

History-guided conversational recommendation Y Salem, J Hong, W Liu – Proceedings of the companion publication of …, 2014 – dl.acm.org Abstract Product recommendation is an important aspect of many e-commerce systems. It provides an effective way to help users navigate complex product spaces. In this paper, we focus on critiquing-based recommenders. We present a new critiquing-based approach, … Related articles All 6 versions

Enriching Case Descriptions Using Trails in Conversational Recommenders SR Vasudevan, S Chakraborti – Case-Based Reasoning Research and …, 2014 – Springer Abstract Case based recommenders often use similarity as a surrogate for utility. For a given user query, the most similar products are given as recommendations. Similarities are designed in such a way that they closely approximate utilities. In this paper, we propose … Cited by 1 Related articles All 3 versions

Dynamic personalization in conversational recommender systems T Mahmood, G Mujtaba, A Venturini – Information Systems and e-Business …, 2014 – Springer Abstract Conversational recommender systems are E-Commerce applications which interactively assist online users to acquire their interaction goals during their sessions. In our previous work, we have proposed and validated a methodology for conversational … Related articles All 6 versions

Recommendation Systems Using Learning Analytics For Curriculum Development And Students Progress Optimization A Baumann, L Reeh – EDULEARN14 Proceedings, 2014 – library.iated.org … It features different recommendation algorithms that are based on content-based, collaborative and conversational recommendation approaches. For example, collaborative filtering uses the records of similar students in order …

Analysis of a collaborative advisory channel for group recommendation J Pascual, D Contreras, M Salamó – … Intelligence Research and …, 2014 – books.google.com … as occurs in collaborative filtering recommenders [16]. Conversational recommenders have proven to be especially helpful for users with ill-defined needs and preferences. Notice that recommender systems can be distinguished … Related articles All 3 versions

Awareness-Based Recommendation toward a New Preference: Evaluation of the Awareness Effect T Yamaguchi, T Nishimura… – Handbook of Research …, 2014 – books.google.com … Second, interactive recommendation system called Conversational Recommender is summarized. … Therefore, conversational recommender systems have been proposed by Bridge et al.(2005) to support more natural and interactive processes. … All 2 versions

Collaborative Compound Critiquing H Xie, L Chen, F Wang – User Modeling, Adaptation, and Personalization, 2014 – Springer … In addi- tion, we verify that incorporating user histories into compound critiquing system can be significantly more effective than the corresponding unit critiquing system. Keywords: Conversational recommender systems, history-aware com- pound critiquing. 1 Introduction … Related articles All 6 versions

User-centric Recommendation Model for AAC based on Multi-criteria Planning SS Hernández, DM Valdés, JM Medina, MI Guerrero – researchgate.net … and Services Page 3. CONVERSATIONAL RECOMMENDER Dimension Features Extraction Dialog Request Composition MEMORY-BASED RECOMMENDER Past Behavior Analysis Dimension Association KNOWLEDGE-BASED … Related articles

Using Social Signal of Hesitation in Multimedia Content Retrieval T Vodlan, A Košir – saiconference.com … One example of how SS can be used in HCI is a manual VoD system with a conversational recommender system (RS) where the user selected one video clip among several presented on the screen [5]. The system adjusted the list of video items to be recommended according … Related articles All 2 versions

How to use recommender systems in e-business domains U Panniello – Webology, 2014 – webology.org Page 1. 1 http://www.webology.org/2014/v11n2/a127.pdf Webology, Volume 11, Number 2, December, 2014 Home Table of Contents Titles & Subject Index Authors Index How to use recommender systems in e-business domains Umberto Panniello … Related articles All 3 versions

Case-Based Reasoning Research and Development L Lamontagne, E Plaza – Springer … 465 Gleb Sizov, Pinar Oztürk, and Jozef Štyrák Enriching Case Descriptions Using Trails in Conversational Recommenders….. 480 Skanda Raj Vasudevan and Sutanu Chakraborti Case-Based Plan Recognition Using Action Sequence Graphs….. …

The Ethics of a Recommendation System P Winoto, T Tang – Web-Age Information Management, 2014 – Springer … However, the cost of evaluating and comparing diverse choice alternatives cannot be ignored [1], which prevents these semi-automated conversational recommendation approaches from gaining widespread popularity in commercial sys- tems [2]. We do not intend to further … Related articles

User Interaction in Group Recommender Systems J Pascual Milego – 2014 – upcommons.upc.edu Page 1. Master in Artificial Intelligence (UPC-?URV-?UB) Master of Science Thesis User Interaction in Group Recommender Systems Jordi Pascual Milego Advisor/s: Maria Salamó Llorente 30/06/2014 Page 2. Page 3. Acknowledgements … Related articles

Book recommendation system for digital library based on user profiles by using association rule P Jomsri – … (INTECH), 2014 Fourth International Conference on, 2014 – ieeexplore.ieee.org … In the first case they use the a priori algorithm to extract item association rules from user profiles in order to derive a better item-item similarity measure. In the second case, they apply association rule mining to a conversational recommender. … Related articles

[BOOK] Case-Based Reasoning Research and Development: 22nd International Conference, ICCBR 2014, Cork, Ireland, September 29, 2014-October 1, 2014. … L Lamontagne, E Plaza – 2014 – books.google.com … Gleb Sizov, Pinar Oztürk, and Jozef ?Styrák Enriching Case Descriptions Using Trails in Conversational Recommenders….. Skanda Raj Vasudevan and Sutanu Chakraborti Case-Based Plan Recognition Using Action Sequence Graphs….. … All 3 versions

Exploring intelligence of web communities R Akerkar, P Maret, L Vercouter – … of the companion publication of the …, 2014 – dl.acm.org … Lotka-Volterra equations model the mutualistic relationship between parasites and hosts, describing the growth rate of animals and plants and the intraspecific competition. History-Guided Conversational Recommendation. … Related articles All 3 versions

Adaptive constraint and rule-based product bundling in enterprise networks E Rapti, A Karageorgos, G Ntalos – … Conference (WETICE), 2014 …, 2014 – ieeexplore.ieee.org … 325-341. [28] N. Mirzadeh, F. Ricci, and M. Bansal, “Feature selection methods for conversational recommender systems,” in e- Technology, e-Commerce and e-Service, 2005. EEE’05. Proceedings. The 2005 IEEE International Conference on, 2005, pp. 772-777. … Cited by 2 Related articles All 6 versions

Methodology for Transformation of Behavioural Cues into Social Signals in Human-Computer Interaction T Vodlan, A Košir – … of Research on Interactive Information Quality …, 2014 – books.google.com … EXPERIMENTAL DESIGN We modelled an experimental design for SS extrac- tion as illustrated in Figure 2. The experimental scenario was a gesture driven VoD system with a conversational recommender system (RS) where the user selected one video clip among several … Related articles All 2 versions

Comparing context-aware recommender systems in terms of accuracy and diversity U Panniello, A Tuzhilin, M Gorgoglione – User Modeling and User-Adapted …, 2014 – Springer Page 1. User Model User-Adap Inter (2014) 24:35–65 DOI 10.1007/s11257-012-9135-y ORIGINAL PAPER Comparing context-aware recommender systems in terms of accuracy and diversity Umberto Panniello · Alexander Tuzhilin · Michele Gorgoglione … Cited by 37 Related articles All 6 versions

A reusable methodology for the instantiation of social recommender systems L Quijano-Sánchez, JA Recio-García… – … Journal on Artificial …, 2014 – World Scientific Page 1. 1st Reading International Journal on Artificial Intelligence Tools Vol. 23, No. 6 (2014) 1460031 (25 pages) c World Scientific Publishing Company DOI: 10.1142/S0218213014600318 A Reusable Methodology for the Instantiation of Social Recommender Systems … Cited by 1 Related articles All 5 versions

Using hierarchical graph maps to explain collaborative filtering recommendations F Ortega, J Bobadilla, A Hernando… – International Journal of …, 2014 – 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 3 Related articles All 3 versions

Modeling user preferences in recommender systems: A classification framework for explicit and implicit user feedback G Jawaheer, P Weller, P Kostkova – ACM Transactions on Interactive …, 2014 – dl.acm.org … In the context of conversational recommender systems, two techniques have been proposed as alternatives to ratings, namely critiquing [McGinty and Smyth 2005] and preference-based user feedback [McGinty and Smyth 2002]. … Cited by 7 Related articles All 2 versions

Understanding Usages by Modeling Diversity over Time A L’Huillier, S Castagnos, A Boyer – 22nd Conference on User Modeling, …, 2014 – hal.inria.fr … 25–37 (2013) 7. Jones, N.: User Perceived Qualities and Acceptance of Recommender Systems: The Role of Diversity. PhD Thesis, EPFL, Lausanne, Switzerland (2010) 8. McGinty, L., Smyth, B.: On the Role of Diversity in Conversational Recommender Systems. In: Int. Conf. … Cited by 2 Related articles All 3 versions

How much do you trust me? Learning a case-based model of inverse trust MW Floyd, M Drinkwater, DW Aha – Case-Based Reasoning Research …, 2014 – Springer … 137 Conversational recommender systems [20] iteratively improve recommenda- tions to a user by tailoring the recommendations to the user’s preferences. As more information is obtained through dialogs with a user, these systems refine their model of that user. … Cited by 5 Related articles All 7 versions

Improvement of recommendation systems based on cellular learning automata H Toozandehjani, MR Zare-Mirakabad… – … (ICCKE), 2014 4th …, 2014 – ieeexplore.ieee.org … In future work, we aim to change the structure of ACLA to consider sequences of user review. REFRENCES [1] K. McCarthy, J. Reilly, L. McGinty, and B. Smyth, “Thinking positively-explanatory feedback for conversational recommender systems”, in Proceedings of the European … Related articles

Sentiment and preference guided social recommendation YY Chen, X Ferrer, N Wiratunga, E Plaza – Case-Based Reasoning …, 2014 – Springer Page 1. Sentiment and Preference Guided Social Recommendation Yoke Yie Chen1, Xavier Ferrer2,3, Nirmalie Wiratunga1, and Enric Plaza2 1 IDEAS Research Institute, Robert Gordon University, Aberdeen, Scotland {yychen … Cited by 3 Related articles All 4 versions

Intelligent tourism recommender systems: A survey J Borràs, A Moreno, A Valls – Expert Systems with Applications, 2014 – Elsevier Recommender systems are currently being applied in many different domains. This paper focuses on their application in tourism. A comprehensive and thorough sear. Cited by 24 Related articles All 5 versions

Using Trust-based Recommender Systems for Personalized Health Content MR Koochi, ARBC Hussin – seminar.utmspace.edu.my … web, pp. 291–324, 2007. [18] T. Mahmood and F. Ricci, “Towards Learning User-Adaptive State Models in a Conversational Recommender System.,” in LWA, 2007, pp. 373–378. [19] D. BRIDGE and and B. SMYTH, “Case-based recommender systems,” vol. 20, pp. … Related articles All 2 versions

Representing & Reasoning with Qualitative Preferences: Tools and Applications GR Santhanam, S Basu, V Honavar – cs.iastate.edu Page 1. Representing & Reasoning with Qualitative Preferences: Tools and Applications Ganesh Ram Santhanam1, Samik Basu1 & Vasant Honavar2 1Iowa State University, 2 Penn State University gsanthan@iastate.edu Representing … Related articles All 3 versions

Preference modeling and preference elicitation: An overview P Viappiani – Proceedings of the First International Workshop on …, 2014 – ceur-ws.org … In In Proceedings of ECML/PKDD’11, pages 414–429, 2011. 20. Paolo Viappiani and Craig Boutilier. Regret-based optimal recommendation sets in conversational recommender systems. In Proceedings of ACM RecSys’09, pages 101–108, 2009. 21. … Related articles

Further thoughts on context-aware paper recommendations for education TY Tang, P Winoto, G McCalla – Recommender Systems for Technology …, 2014 – Springer Page 1. 159 N. Manouselis et al. (eds.), Recommender Systems for Technology Enhanced Learning: Research Trends and Applications, DOI 10.1007/978-1-4939- 0530-0_8, © Springer Science+Business Media New York 2014 … Cited by 5 Related articles All 2 versions

A dialogue game for recommendation with adaptive preference models W Ouerdanea, C Labreucheb, N Maudetc, S Parsonsd – 2014 – lgi.ecp.fr Page 1. Ecole Centrale Paris Laboratoire Génie Industriel Cahier d’Études et de Recherche / Research Report A dialogue game for recommendation with adaptive reference models majority rule sorting model to deal with monotone learning sets … Cited by 2 Related articles

The impact of hesitation, a social signal, on a user’s quality of experience in multimedia content retrieval T Vodlan, M Tkal?i?, A Košir – Multimedia Tools and Applications, 2014 – Springer … choices. The aim of this study is to show that the utilization of the SS of hesitation in a conversational recommender system (RS) can improve the user quality of experience (QoE) when interacting with a video- on-demand system. … Cited by 2 Related articles All 4 versions

Basic approaches in recommendation systems A Felfernig, M Jeran, G Ninaus, F Reinfrank… – … Systems in Software …, 2014 – Springer Cited by 7 Related articles All 6 versions

Case-Based Behavior Adaptation Using an Inverse Trust Metric MW Floyd, M Drinkwater, DW Aha – 2014 – DTIC Document … Conversational recommender systems (McGinty and Smyth 2003) iteratively improve recommendations to a user by tailoring the recommendations to the user’s preferences. … McGinty, L., and Smyth, B. 2003. On the role of diver- sity in conversational recommender systems. … Cited by 1 Related articles All 7 versions

Smart sustainability through system satisfaction: Tailored preference elicitation for energy-saving recommenders BP Knijnenburg, M Willemsen, R Broeders – 2014 – aisel.aisnet.org Page 1. Knijnenburg et al. Smart Sustainability through System Satisfaction Twentieth Americas Conference on Information Systems, Savannah, 2014 1 Smart Sustainability through System Satisfaction: Tailored Preference Elicitation for Energy-saving Recommenders … Cited by 1 Related articles All 4 versions

Object-oriented travel package recommendation C Tan, Q Liu, E Chen, H Xiong, X Wu – ACM Transactions on Intelligent …, 2014 – dl.acm.org Page 1. 43 Object-Oriented Travel Package Recommendation CHANG TAN, QI LIU, and ENHONG CHEN, University of Science and Technology of China HUI XIONG, Rutgers University XIANG WU, University of Science and Technology of China … Cited by 6 Related articles All 3 versions

An architecture and functional description to integrate social behaviour knowledge into group recommender systems L Quijano-Sanchez, JA Recio-Garcia, B Diaz-Agudo – Applied intelligence, 2014 – Springer Page 1. Appl Intell (2014) 40:732–748 DOI 10.1007/s10489-013-0504-y An architecture and functional description to integrate social behaviour knowledge into group recommender systems Lara Quijano-Sanchez · Juan A. Recio-Garcia · Belen Diaz-Agudo … Cited by 3 Related articles All 6 versions

Hybrid recommendation systems combining user-preferences with domain-expert knowledge V Tufis – 2014 – alexandria.tue.nl Page 1. Vlad Tufis, Hybrid recommendation systems combining user-preferences with domain-expert knowledge School of Science Thesis submitted for examination for the degree of Master of Science in Technology. Espoo 30.06.2014 Thesis supervisor: Prof. Heikki Saikkonen … Related articles

An interactive interface for instilling trust and providing diverse recommendations R Katarya, I Jain, H Hasija – Computer and Communication …, 2014 – ieeexplore.ieee.org … 830–831 (2002) [13]K. McCarthy, J. Reilly, L. McGinty, B. Smyth, Thinking positively – explanatory feedback for conversational recommender systems, in: Workshop on Explanation in CBR at the Seventh European Conference on Case-Based Reasoning, 2004, pp. 115– 124. … Related articles

Recommending Judgment Targets for Rating Provision F Klan, BK Ries – Web Intelligence (WI) and Intelligent Agent …, 2014 – ieeexplore.ieee.org … product or service. Such a model can be learned based on the customer’s interactions for instance with an E-Commerce platform or a (Conversational) Recommender System prior to the judged purchase/selection. Since a detailed … Related articles All 4 versions

Incremental elicitation of Choquet capacities for multicriteria decision making N Benabbou, P Perny, P Viappiani – 21st European Conference …, 2014 – books.google.com … [25] P. Viappiani and C. Boutilier,’Regret-based optimal recommendation sets in conversational recommender systems’, in Proceedings of the 3rd ACM Conference on Recommender Systems (RecSys09), pp. 101–108, New York,(2009). … Cited by 8 Related articles All 6 versions

Preference and Sentiment Guided Social Recommendations with Temporal Dynamics X Ferrer, YY Chen, N Wiratunga, E Plaza – Research and Development in …, 2014 – Springer Page 1. Preference and Sentiment Guided Social Recommendations with Temporal Dynamics Xavier Ferrer, Yoke Yie Chen, Nirmalie Wiratunga and Enric Plaza Abstract Capturing users’ preference that change over time is a great challenge in recommendation systems. … Related articles All 3 versions

Automating Software Customization via Crowdsourcing using Association Rule Mining and Markov Decision Processes S Hamidi – 2014 – yorkspace.library.yorku.ca Page 1. AUTOMATING SOFTWARE CUSTOMIZATION VIA CROWDSOURCING USING ASSOCIATION RULE MINING AND MARKOV DECISION PROCESSES SAEIDEH HAMIDI A THESIS SUBMITTED TO THE FACULTY OF … Cited by 1 Related articles

THESIS CERTIFICATE S Chakraborti – 2014 – cse.iitm.ac.in Page 1. Improving Conversational Recommendation based on Preference-based Feedback A THESIS … This is to certify that the thesis entitled Improving Conversational Recommendation based on Preference-based Feedback, submitted by Saurabh Gupta, to the Indian …

Collaborative Preference Elicitation Based on Dynamic Peer Recommendations S Saha, A Mahanti – academia.edu … In: Proceedings of the 2007 ACM conference on Recommender systems, 2007, pp. 187–190. [5] P. Viappiani, P. Pu, and B. Faltings : “Conversational recommenders with adaptive suggestions”. In: Proceedings of the 2007 ACM conference on Recommender systems, 2007, pp. … Related articles

A Novel Classification Framework for Evaluating Individual and Aggregate Diversity in Top-N Recommendations J MOODY, DH GLASS – tist.acm.org Page 1. A Novel Classification Framework for Evaluating Individual and Aggregate Diversity in Top-N Recommendations JENNIFER MOODY, University of Ulster DAVID H. GLASS, University of Ulster The primary goal of a recommender …

Accurate and novel recommendations: An algorithm based on popularity forecasting A Javari, M Jalili – ACM Transactions on Intelligent Systems and …, 2014 – dl.acm.org Page 1. 56 Accurate and Novel Recommendations: An Algorithm Based on Popularity Forecasting AMIN JAVARI and MAHDI JALILI, Sharif University of Technology Recommender systems are in the center of network science … Cited by 5 Related articles All 4 versions

Talkographics: Learning Audience Demographics and Interests from Publicly Available User Generated Content to Make TV Show and Brand … S Hill, A Benton – rady.ucsd.edu Page 1. Talkographics: Learning Audience Demographics and Interests from Publicly Available User Generated Content to Make TV Show and Brand Recommendations Shawndra Hill Wharton School of Business, University … Related articles

Result diversification in social image retrieval: a benchmarking framework B Ionescu, A Popescu, AL Radu, H Müller – Multimedia Tools and …, 2014 – Springer Page 1. Multimed Tools Appl DOI 10.1007/s11042-014-2369-4 Result diversification in social image retrieval: a benchmarking framework Bogdan Ionescu ·Adrian Popescu ·Anca-Livia Radu · Henning M üller Received: 3 April … Cited by 2 Related articles All 4 versions

Bogdan Ionescu, Adrian Popescu, Anca L Radu, H Müller – researchgate.net Page 1. 123 Multimedia Tools and Applications An International Journal ISSN 1380-7501 Multimed Tools Appl DOI 10.1007/s11042-014-2369-4 Result diversification in social image retrieval: a benchmarking framework Bogdan Ionescu, Adrian Popescu, Anca- … Related articles