Anuradha Welivita, and Pearl Pu. Curating a Large-Scale Motivational Interviewing Dataset Using Peer Support Forums. Proceedings of the 29th International Conference on Computational Linguistics (COLING), 2022. [access]
Ekaterina Svikhnushina, Anastasiia Filippova, and Pearl Pu. iEval: Interactive Evaluation Framework for Open-Domain Empathetic Chatbots. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2022. [access]
Ekaterina Svikhnushina, Iuliana Voinea, Anuradha Welivita, and Pearl Pu. A Taxonomy of Empathetic Questions in Social Dialogs. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022. [access]
Ekaterina Svikhnushina and Pearl Pu. 2022. PEACE: a Model of Key Social and Emotional Qualities of Conversational Chatbots. In ACM Transactions on Interactive Intelligent Systems (TiiS), 2022. DOI: https://doi.org/10.1145/3531064 [access]
Year 2021
Anuradha Welivita and Pearl Pu. HEAL: A Knowledge Graph for Distress Management Conversations. In Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2021. [introduction video] [full video] [poster]
Yubo Xie and Pearl Pu. Empathetic Dialog Generation with Fine-Grained Intents. In Proceedings of the 25th Conference on Computational Natural Language Learning (CoNLL), 2021. [access]
Anuradha Welivita, Yubo Xie, and Pearl Pu. A Large-Scale Dataset for Empathetic Response Generation. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. [access] [video]
Yubo Xie, Junze Li, and Pearl Pu. HumorHunter at SemEval-2021 Task 7: Humor and Offense Recognition with Disentangled Attention. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval), 2021. [access]
Yubo Xie, Junze Li, and Pearl Pu. Uncertainty and Surprisal Jointly Deliver the Punchline: Exploiting Incongruity-Based Features for Humor Recognition. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP), 2021. [access]
Ekaterina Svikhnushina, Alexandru Placinta and Pearl Pu. User Expectations of Conversational Chatbots Based on Online Reviews. In Proceedings of the 2021 ACM Designing Interactive Systems Conference (DIS ’21). DOI: https://doi.org/10.1145/3461778.3462125
Ekaterina Svikhnushina and Pearl Pu. Key Qualities of Conversational Chatbots – the PEACE Model. In 26th International Conference on Intelligent User Interfaces (IUI), 2021. DOI: https://doi.org/10.1145/3397481.3450643 [access][video]
Year 2020
Igor Kulev, Carlijn Valk, Yuan Lu and Pearl Pu. Recommender System for Responsive Engagement of Senior Adults in Daily Activities. Journal of Population Ageing, Volume 13, Issue 2, June 2020; Responsive Engagement of Older Persons Promoting Activity and Customize; Page 167–185 (2020). DOI: https://doi.org/10.1007/s12062-020-09263-w [access]
Yubo Xie, Ekaterina Svikhnushina and Pearl Pu. A Multi-Turn Emotionally Engaging Dialog Model. In Companion Proceedings of the 25th International Conference on Intelligent User Interfaces: 2nd workshop on user-aware conversational agents (user2agent), 2020. [access]
Anuradha Welivita and Pearl Pu. A Taxonomy of Empathetic Response Intents in Human Social Conversations. In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020. [access]
Year 2018
Xipei Ren, Bin Yu, Yuan Lu, Yu Chen & Pearl Pu (2018) HealthSit: Designing Posture-Based Interaction to Promote Exercise during Fitness Breaks, in International Journal of Human–Computer Interaction, August 2018, pages 1-16. DOI: https://doi.org/10.1080/10447318.2018.1506641
Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu and Pearl Pu, Predicting Users’ Preferences on Social Groups by Exploring Geographic-Social Events Information. In Proceedings of the 2018 World Wide Web Conference (WWW ’18). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 833-842. DOI: https://doi.org/10.1145/3178876.3186131
Igor Kulev, Pearl Pu, and Boi Faltings. 2018. A Bayesian Approach to Intervention-Based Clustering. ACM Transactions on Intellgent Systems and Technology (TIST). 9, 4, Article 44 (January 2018), 23 pages. DOI: https://doi.org/10.1145/3156683
Year 2017
Li Chen, Feng Wang, Pearl Pu: Investigating users’ eye movement behavior in critiquing-based recommender systems. AI Commun. 30(3-4): 207-222 (2017) [access]
Mirana Randriambelonoro, Yu Chen, Onur Yuruten and Pearl Pu. Opportunities and Challenges for Self-monitoring Technologies for Healthy Aging: An In-situ Study. Gerontechnology 16(2), 2017.
Yu Chen, Danni Le, Zerrin Yumak, and Pearl Pu. EHR: a Sensing Technology Readiness Model for Lifestyle Changes. Mobile Networks and Applications, 2017
Mirana Randriambelonoro Michelle, Yu Chen and Pearl Pu. Fitness tracking technologies for diabetic and obese patients: dynamics of behavior and requirement changes. IEEE Computer Magazine. SI: March 2017 Quality-of-Life Technologies.
Yu Chen, Yunan Chen, Mirana Randriambelonoro, Antoine Geissbuhler and Pearl Pu. Design Considerations for Social Fitness Applications: Comparing Chronically Ill Patients and Healthy Adults. The 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2017), Portland, Oregon
Valentina Sintsova, Margarita Bolívar Jiménez and Pearl Pu. Modeling the Impact of Modifiers on Emotional Statements. In Proceedings of International Conference on Computational Linguistics and Intelligent Text Processing. April 17 to 23, 2017 , Budapest, Hungary
Year 2016
Yu Chen, Yunan Chen, Mirana Randriambelonoro, Antoine Geissbuhler and Pearl Pu. Peer Influence on the Engagement of Fitness Tracker Usage: A Diabetes and Obesity Study. IEEE International Conference on Healthcare Informatics 2016, Chicago, Illinois, USA, Oct. 2016
Sephora Madjiheurem, Valentina Sintsova, and Pearl Pu. Qualitative Framing of Financial Incentives- A Case of Emotion Annotation. Work-in-Progress Paper in the 4th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016). October 30 – November 3, Austin, TX, USA, 2016
Igor Kulev, Pearl Pu and Boi Faltings. Discovering Persuasion Profiles Using Time Series Data. In NIPS Time Series Workshop 2016. Barcelona, Spain, 2016
Valentina Sintsova and Pearl Pu. 2016. Dystemo: Distant Supervision Method for Multi-Category Emotion Recognition in Tweets. ACM Trans. Intell. Syst. Technol. 8, 1, Article 13 (August 2016), 22 pages.
Onur Yürüten and Pearl Pu. Factoring the Habits: Comparing Methods for Discovering Behavior Patterns from Large Scale Activity Datasets. International Conference on Big Data Analytics, Data Mining and Computational Intelligence (BIGDACI), July 2 – 4, Madeira, Portugal, 2016
Yu Chen, Mirana Randriambelonoro, Antoine Geissbuhler and Pearl Pu. Social Incentives in Pervasive Fitness Apps for Obese and Diabetic Patients. In Proceedings of the 19th ACM Conference Companion on Computer Supported Cooperative Work & Social Computing (CSCW’16 Companion). San Francisco, USA, Feb. 2016 [access]
Year 2015
Mirana Randriambelonoro*, Yu Chen*, Antoine Geissbuhler and Pearl Pu. Exploring physical activity monitoring devices for diabetic and obese patients. In Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers (UbiComp/ISWC’15 Adjunct), Osaka, Japan, Sept. 2015 (*equal contribution) [access]
Year 2014
Valentina Sintsova, Claudiu Musat and Pearl Pu. Semi-Supervised Method for Multi-Category Emotion Recognition in Tweets. In Proceedings of the 4th Workshop on the Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE). Shenzhen, China, December 14, 2014 [access]
Yu Chen, Xiaojuan Ma, Alfredo Cerezo and Pearl Pu. Empatheticons: Designing Emotion Awareness Tools for Group Recommenders. In the 15th International Conference on Human Computer Interaction (Interaccion2014). Puerto de la Cruz, Tenerife, Spain, September 10-12, 2014 [access]
Yu Chen, Jiyong Zhang and Pearl Pu. Exploring Social Accountability in Pervasive Fitness Apps. The 8th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM2014). Rome, Italy, August 24-28, 2014 [access]
Lionel Martin and Pearl Pu. Prediction of Helpful Reviews using Emotions Extraction. In the 28th AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada, July 27-31, 2014 [access]
Onur Yürüten, Jiyong Zhang and Pearl Pu. Decomposing Activities of Daily Living to Discover Routine Clusters. In the 28th AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada, July 27-31, 2014 [access]
Renato Kempter, Valentina Sintsova, Claudiu Musat and Pearl Pu. EmotionWatch: Visualizing Fine-Grained Emotions in Event-Related Tweets. In the 8th International AAAI Conference on Weblogs and Social Media, 2014 [access]
Onur Yürüten, Jiyong Zhang, and Pearl Pu. Predictors of Life Satisfaction Based on Daily Activities from Mobile Sensor Data. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI ’14), pp. 497-500, Toronto, Canada, April 26 – May 1, 2014. [access]
Rong Hu and Pearl Pu. Exploring Personality’s Effect on Users’ Rating Behavior. In Proceedings of 2014 SIGCHI Conference on Human Factors in Computing Systems (CHI’14), Toronto, Canada, April 26 – May 1, 2014[access]
Yu Chen and Pearl Pu. Designing Emotion Awareness Interface for Group Recommender Systems. In the 12th ACM International Working Conference on Advanced Visual Interfaces (AVI 2014), Como, Italy, May 27-30, 2014 [access]
Yu Chen and Pearl Pu. HealthyTogether: Exploring Social Incentives for Mobile Fitness Applications. In the second International Symposium of Chinese CHI 2014, Toronto, Canada, April 26-27, 2014[access]
Lionel Martin, Valentina Sintsova and Pearl Pu. Are Influential Writers More Objective? An Analysis of Emotionality in Review Comments. In the5th International Workshop on Social Recommender Systems, in conjunction with 23rd International World Wide Web Conference (WWW 2014), 799 – 804. Seoul, Korea, 2014 [access]
Year 2013
Zerrin Yumak and Pearl Pu. Survey of Sensor-Based Personal Wellness Management Systems. BioNanoScience, September 2013, Volume 3, Issue 3, pp 254-269. [access]
Li Chen and Pearl Pu. Experiments on User Experiences with Recommender Interfaces.Behaviour & Information Technology. 2013. [access]
Renato Kempter, Valentina Sintsova, Claudiu Musat and Pearl Pu. Discover Emotions in Tweets & Weibos during the 2012 Olympic Games. In Video Track of the 23rd International Joint Conference on Articifial Intelligence (IJCAI). Beijing, China, 2013. [Video 80.6M]
Valentina Sintsova, Claudiu Musat and Pearl Pu. Fine-Grained Emotion Recognition in Olympic Tweets Based on Human Computation. In Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (WASSA), 12–20. Atlanta, Georgia: Association for Computational Linguistics, 2013. [PDF 240K]
Rong Hu and Pearl Pu. Exploring Relations between Personality and User Rating Behaviors. In Proceedings of the 1st Workshop on Emotions and Personality in Personalized Services (EMPIRE’13), in conjunction with the 21st Conference on User Modeling, Adaptation and Personalization (UMAP’13), Rome, Italy, June 10, 2013.
Year 2012
George Popescu and Pearl Pu. Eye-tracking Group Influence – Experiment Design and Results. EPFL Technical Report. Lausanne, VD, Switzerland, September 26, 2012.[PDF 5.1M]
Yu Chen and Pearl Pu. CoFeel: Emotional Social Interface in Group Recommender Systems. In Proceeding of RecSys’12 Workshop on Interfaces for Recommender Systems, in conjunction with the 6th ACM Conference on Recommender Systems (RecSys’12), Dublin, Ireland, Sept. 9 – 13, 2012.[PDF 1.9M]
Zerrin Yumak-Kasap, Yu Chen and Pearl Pu. EmoSoNet: An Emotion-aware Social Network for Emotional Wellbeing. In Proceedings of ACM SIGCHI 2012 Workshop on Interaction Design and Emotional Wellbeing, Austin, TX, USA, May 05-10, 2012.[PDF 94K]
George Popescu and Pearl Pu. What’s the Best Music You Have? Designing Music Recommendation for Group Enjoyment in GroupFun. In Works-in-Progress of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI ’12), Austin, TX, USA, May 05-10, 2012. (acceptance rate: 48%)[PDF 498K]
Pearl Pu, Li Chen and Rong Hu. Evaluating Recommender Systems from the Users’ Perspective: Survey of the State of the Art. User Modeling and User-Adapted Interaction Journal (UMUAI), Vol.22, Issue 4, pages 317-355, 2012.[PDF 890K]
Li Chen and Pearl Pu. Critiquing-based recommenders: survey and emerging trends. User Modeling and User-Adapted Interaction Journal (UMUAI), Vol.22, Issue 1-2, pages 125-150, April 2012.[PDF 1317K]
Year 2011
Pearl Pu, Li Chen and Rong Hu. A User-Centric Evaluation Framework for Recommender Systems. In Proceedings of the 5th ACM Conference on Recommender Systems (RecSys’11), pages 157 – 164, Chicago, IL, USA, October 23 – 27, 2011. (acceptance rate: 20%) [PDF 536KB]
Rong Hu and Pearl Pu. Enhancing Collaborative Filtering Systems with Personality Information. In Proceedings of the 5th ACM Conference on Recommender Systems (RecSys’11), pages 197 – 204 , Chicago, IL, USA, October 23 – 27, 2011. (acceptance rate: 27%) [PDF 1.04M]
Rong Hu and Pearl Pu. Helping Users Perceive Recommendation Diversity. In Proceedings of the 1st International Workshop on Novelty and Diversity in Recommender Systems (DiveRS’11), in conjunction with the 5th ACM Conference on Recommender Systems (RecSys’11), Chicago, IL, USA, October 23 – 27, 2011. [PDF 1.18M]
George Popescu and Pearl Pu. Probabilistic Game Theoretic Algorithms for Group Recommender Systems. In Procedding of the Workshop on Workshop on Music Recommendation and Discovery (WOMRAD’11), in conjunction with the 5th ACM Conference on Recommender Systems (RecSys’11), Chicago, USA, Oct. 23 – 27, 2011. [PDF 306KB]
Yu Chen. Interface and Interaction Design for Group and Social Recommender Systems. In Proceedings of the 5th ACM Conference on Recommender Systems (RecSys’11), Chicago, USA, Oct. 23 – 27, 2011. [PDF 499KB]
Yu Chen and Pearl Pu. Do You Feel How We Feel? An Affective Interface in Social Group Recommender Systems. In Procedding of the 3rd Workshop on Recommender Systems and the Social Web (RSWEB’11), in conjunction with the 5th ACM Conference on Recommender Systems (RecSys’11), Chicago, USA, Oct. 23 – 27, 2011. [PDF 298K]
Zheng Yan and Yu Chen. AdChatRep: a Reputation System for MANET Chatting. In Proceedings of the 1st International Symposium on Social and Community Intelligence (SCI’11), in conjunction with the 13th ACM International Conference on Ubiquitous Computing (Ubicomp’11), Beijing, China, Sept. 17 – 21, 2011. [PDF 866K]
Yu Chen, Zheng Yan and Valtteri Niemi. Implementation of a Reputation System for Pervasive Social Networking. In Proceeding of IEEE TrustID 2011, in conjunction with IEEE TrustCom-11, November 16-18, 2011, Changsha, China [PDF 1.2M]
Li Chen and Pearl Pu. Users’Eye Gaze Pattern in Organization-based Recommender Interfaces. In Proceedings of the 15th international conference on Intelligent user interfaces (IUI’11), pages 311-314, Palo Alto, California, USA, February 13 – 16, 2011. [PDF 2.9M]
Rong Hu and Pearl Pu. Enhancing Recommendation Diversity with Organization Interfaces. In Proceedings of the 15th international conference on Intelligent user interfaces (IUI’11), pages 347-350, Palo Alto, California, USA, February 13 – 16, 2011. [PDF 290K]
Year 2010
Castagnos, S., Jones, N., and Pu, P. Eye-tracking product recommenders’ usage. In Proceedings of the Fourth ACM Conference on Recommender Systems (RecSys’10), pages 29-36, Barcelona, Spain, Sept.26 – 30, 2010. (acceptance rate: 19.4%) [PDF 1.76M]
Rong Hu. Design and User Issues in Personality-based Recommender Systems. In proceedings of the 3rd ACM Conference on Recommender Systems (RecSys’10), Barcelona, Spain, Sept. 26-30, 2010. [PDF 285KB]
Rong Hu and Pearl Pu. Using Personality Information in Collaborative Filtering for New Users. In the 3rd ACM Conference on Recommender Systems (RecSys’10), the 2nd Workshop on Recommender Systems and the Social Web (RSWEB’10), Barcelona, Spain, Sept. 26-30, 2010. [PDF 198KB]
Pearl Pu and Li Chen. A User-Centric Evaluation Framework of Recommender Systems. In the 3rd ACM Conference on Recommender Systems (RecSys’10), Workshop on User-Centric Evaluation of Recommender Systems and Their Interfaces (UCERSTI’10), Barcelona, Spain, Sept. 26-30, 2010. [PDF 872KB]
Pearl Pu, Boi Faltings, Li Chen, Jiyong Zhang and Paolo Viappiani. Usability Guidelines for Product Recommenders based on Example Critiquing Research. In Recommender Systems Handbook, F. Ricci, L. Rokach, B. Shapira, P.B. Kantor, Eds. Springer, Chapter 16, pages 511-546, November 2010. [PDF 3.1M]
Li Chen and Pearl Pu. Eye-Tracking Study of User Behavior in Recommender Interfaces. In: P. De Bra, A. Kobsa, and D. Chin (Eds.): UMAP 2010, LNCS 6075, pp. 375-380, Hawaii, USA, June 20-24, 2010. [PDF 227KB]
Rong Hu and Pearl Pu. A Study on User Perception of Personality-Based Recommender Systems. In: P. De Bra, A. Kobsa, and D. Chin (Eds.): UMAP 2010, LNCS 6075, pp. 291-302, Hawaii, USA, June 20-24, 2010. (acceptance rate: 20%) [PDF 221KB]
Li Chen and Pearl Pu. Experiments on the preference-based organization interface in recommender systems. ACM Transactions on Computer-Human Interaction (TOCHI), Vol. 17 Issue 1, pages 1-33, March 2010. [PDF 2.21MB]
Sylvain Castagnos and Pearl Pu. Consumer Decision Patterns Through Eye Gaze Analysis. In proc. of the International Workshop on Eye Gaze in Intelligent Human Machine Interaction, in conjunction with the 2010 International Conference on Intelligent User Interfaces (IUI 2010), Hong Kong, February 2010. [PDF 915KB]
Year 2009
Li Chen and Pearl Pu. Interaction Design Guidelines on Critiquing-based Recommender Systems. User Modeling and User-Adapted Interaction Journal (UMUAI), vol. 19 (3), pages 167-206, 2009.[PDF 676KB]
Sylvain Castagnos, Nicolas Jones and Pearl Pu. Recommenders’ Influence on Buyers’ Decision Process. In proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), pages 361-364, New-York City, NY, USA, October 2009. (acceptance rate: 34%) [PDF 821KB][Poster 443KB]
Rong Hu and Pearl Pu. Potential Acceptance Issues of Personality-based Recommender Systems. In proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), pages 221-224, New-York City, NY, USA, October 2009. (acceptance rate: 34%) [PDF 449KB]
Pearl Pu, Maoan Zhou and Sylvain Castagnos. Critiquing Recommenders for Public Taste Products. In proceedings of the 3rd ACM Conference on Recommender Systems (RecSys 2009), pages 249-252, New-York City, NY, USA, October 2009. (acceptance rate: 34%) [PDF 867KB][Poster 87KB]
Nicolas Jones, Pearl Pu and Li Chen. How Users Perceive and Appraise Personalized Recommendations. In proceedings of User Modeling, Adaptation, and Personalization Conference (UMAP 2009), Trento, Italy, 2009. LNCS 5535, pp. 461-466 (acceptance rate: 16.2%) [PDF 180KB]
Rong Hu and Pearl Pu. A comparative user study on rating vs. personality quiz based preference elicitation methods. In Proceedings of the 13th international conference on Intelligent user interfaces (IUI2009), pages 367-372, Sanibel Island, Florida, USA, February 08 – 11, 2009. [PDF 519KB]
Year 2008
Li Chen and Pearl Pu. A Cross-Cultural User Evaluation of Product Recommender Interfaces. Proceedings of ACM Recommender Systems Conference, Lausanne, Switzerland, October 23-25, 2008. [PDF 1.56MKB]
Paolo Viappiani, Pearl Pu, and Boi Faltings. Preference-based Search with Adaptive Recommendations. AI Communications, 21(2-3), pages 155-175, 2008. [PDF 658KB]
Pearl Pu and Li Chen. User-Involved Preference Elicitation for Product Search and Recommender Systems. AI Magazine 29(4), pp. 93-103, Winter 2008. [PDF 2.86MB]
Pearl Pu, Li Chen and Pratyush Kumar. Evaluating Product Search and Recommender Systems for E-Commerce Environments. Electronic Commerce Research Journal, 8(1-2), June, pages 1-27, 2008. [PDF 800KB]
Jiyong Zhang, Nicolas Jones and Pearl Pu. A Visual Interface for Critiquing-based Recommender Systems. In Proceedings of ACM Conference on Electronic Commerce (EC’08), Chicago, Illinois, 2008. [PDF 1.24MB]
Nicolas Jones and Pearl Pu. User Acceptance Issues in Music Recommender Systems. EPFL Technical Report. [PDF 820KB]
Year 2007
Li Chen and Pearl Pu. The Evaluation of a Hybrid Critiquing System with Preference-based Recommendations Organization. In Proceedings of ACM Conference on Recommender Systems (RecSys’07), pages 169-172, Minneapolis, USA, October 19-20, 2007. [PDF 382KB]
Paolo Viappiani, Pearl Pu and Boi Faltings. Conversational Recommenders with Adaptive Suggestions. In Proceedings of ACM Conference on Recommender Systems (RecSys’07), pages 89-96, Minneapolis, USA, October 19-20, 2007. [PDF 476KB]
Jiyong Zhang and Pearl Pu. A Recursive Prediction Algorithm for Collaborative Filtering Recommender Systems. In Proceedings of ACM Conference on Recommender Systems (RecSys’07), pages 57-64, Minneapolis, USA, October 19-20, 2007. [PDF 270KB]
Nicolas Jones and Pearl Pu. User Technology Adoption Issues in Recommender Systems.In Proceedings of Networking and Electronic Commerce Research Conference (NAEC2007), Lake Garda, Italy, October 18-21, 2007. [PDF 132KB]
Pearl Pu and Li Chen. Trust-Inspiring Explanation Interfaces for Recommender Systems. Journal of Knowledge Based Systems, Elsevier Publishers, Volume 20, Issue 6, Pages 542-556, Auguest 2007. [PDF 926KB]
Barry O’Sullivan, Alexandre Papadopoulos, Boi Faltings and Pearl Pu. Representative Explanations for Over-Constrained Problems. In Proceedings of AAAI-2007, pages 323-328, July 2007. [PDF 173KB]
Li Chen and Pearl Pu(Best student paper award). Preference-Based Organization Interface: Aiding User Critiques in Recommender Systems. In Proceedings of International Conference on User Modeling (UM2007), pages 77-86, Corfu, Greece, June 25-29, 2007. (acceptance rate: 19.6%) [PDF 672KB]
James Reilly, Jiyong Zhang, Lorraine McGinty, Pearl Pu and Barry Smyth. Evaluating Compound Critiquing Recommenders: A Real-User Study. In Proceedings of ACM Conference on Electronic Commerce (EC’07) , pages 114-123, San Diego, USA, June 11-15, 2007.(acceptance rate: 27%) [PDF 956KB]
Jiyong Zhang and Pearl Pu. Refining Preference-Based Search Results Through Bayesian Filtering. In Proceedings of the International Conference on Intelligent User Interfaces(IUI2007) , pages 294-297, Hawaii, USA, January 28-31, 2007. (acceptance rate: 34%) [PDF 157KB]
James Reilly, Jiyong Zhang, Lorraine McGinty, Pearl Pu and Barry Smyth. A Comparison of Two Compound Critiquing Systems. In Proceedings of the International Conference on Intelligent User Interfaces(IUI2007), pages 317-320, Hawaii, USA, January 28-31, 2007.(acceptance rate: 34%) [PDF 314KB]
Li Chen and Pearl Pu. Hybrid Critiquing-based Recommender Systems. In Proceedings of International Conference on Intelligent User Interfaces(IUI2007), pages 22-31, Hawaii, USA, January 28-31, 2007. (acceptance rate: 22%) [PDF 632KB]
Year 2006
Paolo Viappiani, Boi Faltings and Pearl Pu. Preference-based Search Using Example-Critiquing with Suggestions. Journal of Artificial Intelligence Research(JAIR), 27, pages 465-503, 2006. [PDF 346KB]
Jiyong Zhang, Pearl Pu, and Paolo Viappiani. A Study of User’s Online Decision Making Behavior. Technical report, Swiss Federal Institute of Technology (EPFL), Lausanne (Switzerland), 2006. [PDF 493KB]
Li Chen and Pearl Pu. Evaluating Critiquing-based Recommender Agents. In Proceedings of Twenty-first National Conference on Artificial Intelligence (AAAI-06), pages 157-162, Boston, USA, July 16-20, 2006. (acceptance rate: 21%) [PDF 350KB]
Paolo Viappiani, Boi Faltings and Pearl Pu. Evaluating Preference-based Search Tools: a Tale of Two Approaches. In Proceedings of the Twenty-first National Conference on Artificial Intelligence (AAAI-06), pages 205-210, Boston USA, July 16-20, 2006. [PDF 274KB]
Jiyong Zhang and Pearl Pu. Performance Evaluation of Consumer Decision Support Systems. the International Journal of E-Business Research, Idea Group Publishing, 2(3), pages 28-45, 2006. [PDF 827KB]
Jiyong Zhang, Pearl Pu, and Boi Faltings. Agile Decision Agent for Service-Oriented E-Commerce Systems. In Proceedings of The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE’06), pages 182-189, IEEE Computer Society, June 2006. (acceptance rate: 26%) [PDF 471KB]
Jiyong Zhang and Pearl Pu(Best student paper award). A Comparative Study of Compound Critique Generation in Conversational Recommender Systems. In Proceedings of the 4th International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH2006), volume 4018 of Lecture Notes in Computer Science, pages 234-243, Dublin, Ireland, June 2006. Springer. (acceptance rate: 18%) [PDF 717KB]
Paolo Viappiani, Boi Faltings and Pearl Pu. The Lookahead Principle for Preference Elicitation: Experimental Results. In Proceedings of the 7th International Conference on Flexible Query Answering Systems (FQAS 2006), volume 4027 of Lecture Notes in Computer Science, pages 378-389, Milan, Italy, June 7-10, 2006. Springer. [PDF 1571KB]
Pearl Pu, Paolo Viappiani and Boi Faltings. Increasing User Decision Accuracy Using Suggestions. In Proceedings of the SIGCHI conference on Human factors in computing systems (CHI’06), Montreal, Canada, pages 121-130, April 22-27, 2006. [PDF 231KB]
Pearl Pu and Li Chen. Trust Building with Explanation Interfaces. In Proceedings of the 11 th International Conference on Intelligent User Interface (IUI’06) , Sydney, Australia, pages 93-100, January 29-February 1, 2006. (acceptance rate: 24%) [PDF 329KB]
Year 2005
Paul Janecek, Vincent Schickel-Zuber, and Pearl Pu. Concept Expansion Using Semantic Fisheye Views. In Proceedings of the 8th International Conference on Asian Digital Libraries (ICADL 2005), pages 273-282, Bangkok, Thailand, December 12-15, 2005. [PDF 354KB]
Paolo Viappiani, Boi Faltings and Pearl Pu. Stimulating Preferences Expression using Suggestions. AAAI Fall Symposia, Arlington, Virginia, November 3-6, 2005. [PDF 97KB]
Li Chen and Pearl Pu. Trust Building in Recommender Agents. In Proceedings of the Workshop on Web Personalization, Recommender Systems and Intelligent User Interfaces at the 2nd International Conference on E-Business and Telecommunication Networks (ICETE’02) , Reading, UK, October 3-7, 2005, pp.135-145. [PDF 304KB]
Paolo Viappiani, Boi Faltings, Vincent Schickel-Zuber and Pearl Pu. Stimulating Preference Expression Using Suggestions. In workshop notes of the IJCAI-05 Multidisciplinary Workshop on Advances in Preference Handling, Edinburgh, Scotland, pages 186-191, August 2005. [PDF 98KB]
Pearl Pu and Li Chen. Integrating Tradeoff Support in Product Search Tools for E-Commerce Sites. In Proceeding of the ACM Conference on Electronic Commerce (EC’05), Vancouver, Canada, pages 269-278, June 5-8, 2005. (acceptance rate: 28%) [PDF 556KB]
Boi Faltings, Pearl Pu and Jiyong Zhang. Agile Preference Models based on Soft Constraints. In Proceedings of the AAAI Spring Symposia, Stanford, California, SS-05-02, pages 23-28, AAAI Press, March 21-23, 2005. [PDF 186KB]
Jiyong Zhang and Pearl Pu. Effort and Accuracy Analysis of Choice Strategies for Electronic Product Catalogs. In Proceedings of the 20th ACM Symposium on Applied Computing (SAC-2005), track on E-Commerce Technologies, Santa Fe, New Mexico, pages 808-814, March 13 -17, 2005. (acceptance rate: 36%) [PDF 179KB]
Paul Janecek and Pearl Pu. An Evaluation of Semantic Fisheye Views for Opportunistic Search in an Annotated Image Collection. Journal of Digital Libraries. Springer-Verlag. 5(1), pages 42-56, 2005. [PDF 1.42MB]
![[Poster 443KB]](http://hci.epfl.ch/wp-content/uploads/publications/2009/RecSys09-Poster-Castagnos.png){kind=link}