Publications

Journals

  • Yucheng Jin, Li Chen, Wanling Cai, and Xianglin Zhao. CRS-Que: A User-Centric Evaluation Framework for Conversational Recommender Systems. ACM Transactions on Recommender Systems, 2024. [Publisher]
  • Yucheng Jin, Wanling Cai, Li Chen, Yuwan Dai, and Tonglin Jiang. Understanding Disclosure and Support for Youth Mental Health in Social Music Communities. In Proceedings of the ACM on Human-Computer Interaction (CSCW’23), vol. 7, Article 153, 2023. [Publisher]
  • Lei Li, Yongfeng Zhang, and Li Chen. Personalized Prompt Learning for Explainable Recommendation. ACM Transactions on Information Systems (TOIS), vol. 41(4), 2023. [Publisher]
  • Xianglin Zhao, Li Chen, Yucheng Jin, and Xinzhi Zhang. Comparing Button-based Chatbots with Webpages for Presenting Fact-Checking Results: A Case Study of Health Information. Information Processing & Management, vol. 60(2), 2023. [Publisher]
  • Ningxia Wang and Li Chen. How Do Item Features and User Characteristics Affect Users’ Perceptions of Recommendation Serendipity? A Cross-Domain Analysis. User Modeling and User-Adapted Interaction (UMUAI), December 2022. [Publisher]
  • Xinzhi Zhang, Rui Zhu, Li Chen, Zhirun Zhang, and Minyi Chen. News from Messenger? A Cross-National Comparative Study of News Media’s Audience Engagement Strategies via Facebook Messenger Chatbots. Digital Journalism, November 2022. [Publisher]
  • Lei Li, Yongfeng Zhang, and Li Chen. On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance. ACM Transactions on Intelligent Systems and Technology (TIST), October 2022. [Publisher]
  • Dongning Yan and Li Chen. The Influence of Personality Traits on User Interaction with Recommendation Interfaces. ACM Transactions on Interactive Intelligent Systems (TiiS), July 2022. [Publisher]
  • Li Chen, Wanling Cai, Dongning Yan, and Shlomo Berkovsky. Eye-tracking-based Personality Prediction with Recommendation Interfaces. User Modeling and User-Adapted Interaction (UMUAI), June 2022. [Publisher]
  • Dietmar Jannach and Li Chen. Conversational Recommendation: A Grand AI Challenge. AI Magazine, vol. 43(2), pages 151-163, 2022. [Publisher]
  • Zhirun Zhang, Li Chen, Tonglin Jiang, Yutong Li, Lei Li. Effects of Feature-based Explanation and Its Output Modality on User Satisfaction with Service Recommender Systems. Frontiers in Big Data, vol. 5, Article 897381, pages 1-17, 2022.
  • Wanling Cai, Yucheng Jin, and Li Chen. Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots. IEEE Transactions on Human-Machine Systems, vol. 52(3), pages 354-366, 2022. [Publisher]
  • Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, and Li Chen. A Survey on Conversational Recommender Systems. ACM Computing Surveys, vol. 54(5), Article 105, pages 1-36, 2021.
  • Lei Li, Li Chen, and Ruihai Dong. CAESAR: Context-Aware Explanation based on Supervised Attention for Service Recommendations. Journal of Intelligent Information Systems (JIIS), vol. 57, pages 147–170, 2021.
  • Li Chen, Dongning Yan, and Feng Wang. User Evaluations on Sentiment-based Recommendation Explanations. ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 9(4), Article 20, 2019.
  • Wen Wu, Li Chen, Qingchang Yang, and You Li. Inferring Students’ Personality from Their Communication Behavior in Web-based Learning Systems. International Journal of Artificial Intelligence in Education, vol. 29, pages 189–216, 2019, DOI: 10.1007/s40593-018-00173-9.
  • Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, and Zhong Ming. Neighborhood-Enhanced Transfer Learning for One-Class Collaborative Filtering. Neurocomputing, vol. 341, pages 80-87, 2019.
  • Li Chen, Dongning Yan, and Feng Wang. User Perception of Sentiment-Integrated Critiquing in Recommender Systems. International Journal of Human-Computer Studies (IJHCS), vol. 121, pages 4-20, 2019.
  • Weike Pan, Li Chen and Zhong Ming. Personalized Recommendation with Implicit Feedback via Learning Pairwise Preferences over Item-sets. Knowledge and Information Systems (KAIS), vol. 58(2), pages 295–318, 2019.
  • Wen Wu, Li Chen, and Yu Zhao. Personalizing Recommendation Diversity based on User Personality. User Modeling and User-Adapted Interaction Journal (UMUAI), vol. 28(3), pages 237–276, 2018, DOI: 10.1007/s11257-018-9205-x. [Best Paper Award]
  • Victor C. Leung, Li Chen, William K. Cheung, and Chi-kuen Fok. A Heterogeneous Hidden Markov Model for Mobile App Recommendation. Knowledge and Information Systems (KAIS), vol. 57(1), pages 207-228, 2018.
  • Li Chen, Feng Wang, and Pearl Pu. Investigating Users’ Eye Movement Behavior in Critiquing-based Recommender Systems. AI Communications, vol. 30(3-4), pages 207-222, 2017. [Publisher]
  • Weike Pan and Li Chen. Group Bayesian Personalized Ranking with Rich Interactions for One-Class Collaborative Filtering. Neurocomputing, vol. 207, pages 501–510, September 2016.
  • Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y.K. Lau, Tak-Lam Wong, Li Chen, Fu Lee Wang, and Qing Li. Incorporating Sentiment into Tag-based User Profiles and Resource Profiles for Personalized Search in Folksonomy. Information Processing & Management, vol. 52(1), pages 61–72, January 2016.
  • Haoran Xie, Xiaodong Li, Tao Wang, Li Chen, Ke Li, Fu Lee Wang, Yi Cai, Qing Li, and Huaqing Min. Personalized Search for Social Media via Dominating Verbal Context. Neurocomputing, vol. 172, pages 27–37, January 2016.
  • Guanliang Chen and Li Chen. Augmenting Service Recommender Systems by Incorporating Contextual Opinions from User Reviews. User Modeling and User-Adapted Interaction Journal (UMUAI), Special Issue on User Modeling in Ubiquitous Computing, vol. 25(3), pages 295-329, 2015.
  • Li Chen, Guanliang Chen, and Feng Wang. Recommender Systems Based on User Reviews: The State of the Art. User Modeling and User-Adapted Interaction Journal (UMUAI), vol. 25(2), pages 99-154, 2015, DOI: 10.1007/s11257-015-9155-5. [PDF]
  • James J. Deng, Clement H. C. Leung, Alfredo Milani and Li Chen. Emotional States Associated with Music: Classification, Prediction of Changes, and Consideration in Recommendation. ACM Transactions on Interactive Intelligent Systems (TiiS), vol. 5(1), March 2015.
  • Feng Wang and Li Chen. Review Mining for Estimating Users’ Ratings and Weights for Product Aspects. Web Intelligence: An International Journal (WIAS), vol. 13(3), pages 137-152, 2015. [PDF]
  • Congfu Xu, Baojun Su, Yunbiao Cheng, Weike Pan, and Li Chen. An Adaptive Fusion Algorithm for Spam Detection. IEEE Intelligent Systems, vol. 29(4), pages 2-8, 2014.
  • Xiaodong Li, Haoran Xie, Li Chen, Jianping Wang, and Xiaotie Deng. News Impact on Stock Price Return via Sentiment Analysis. Knowledge-Based Systems (KNOSYS), vol. 69, pages 14-23, 2014.
  • Li Chen, Feng Wang, Luole Qi, and Fengfeng Liang. Experiment on Sentiment Embedded Comparison Interface. Knowledge-Based Systems (KNOSYS), vol. 64, pages 44-58, 2014.
  • Li Chen and Pearl Pu. Experiments on User Experiences with Recommender Interfaces. Behaviour & Information Technology, vol. 33(4), pages 372-394, 2014.
  • Li Chen and Feng Wang. Preference-based Clustering Reviews for Augmenting e-Commerce Recommendation. Knowledge-Based Systems (KNOSYS), vol. 50, pages 44-59, 2013.
  • Li Chen, Wei Zeng and Quan Yuan. A Unified Framework for Recommending Items, Groups and Friends in Social Media Environment via Mutual Resource Fusion. Expert Systems with Applications (ESWA), vol. 40(8), pages 2889–2903, 2013.
  • Weishi Zhang, Guiguang Ding, Li Chen, Chunping Li and Chengbo Zhang. Generating Virtual Ratings from Chinese Reviews to Augment Online Recommendations. ACM Transactions on Intelligent Systems and Technology (TIST), vol. 4(1), 2013. [PDF]
  • Li Chen, Luole Qi and Feng Wang. Comparison of Feature-Level Learning Methods for Mining Online Consumer Reviews. Expert Systems with Applications (ESWA), vol. 39(10), pages 9588–9601, 2012.
  • 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), Special Issue on User Interfaces for Recommender Systems, vol. 22(4), pages 317-355, 2012.
  • Li Chen and Pearl Pu. Critiquing-based Recommenders: Survey and Emerging Trends. User Modeling and User-Adapted Interaction Journal (UMUAI), vol. 22(1), pages 125-150, 2012.
  • Li Chen and Luole Qi. Social Opinion Mining for Supporting Buyers’ Complex Decision Making: Exploratory User Study and Algorithm Comparison. Journal on Social Network Analysis and Mining (SNAM), vol. 1(4), pages 301-320, 2011. [PDF]
  • Li Chen and Pearl Pu. Experiments on the Preference-based Organization Interface in Recommender Systems. ACM Transactions on Computer-Human Interaction (TOCHI), vol. 17(1), pages 1-33, March, 2010. [PDF]
  • 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.
  • Pearl Pu and Li Chen. User-Involved Preference Elicitation for Product Search and Recommender Systems. Artificial Intelligence Magazine, vol. 29(4), pages 93-103, December, 2008. [PDF]
  • Pearl Pu, Li Chen, and Pratyush Kumar. Evaluating Product Search and Recommender Systems for E-Commerce Environments. Electronic Commerce Research Journal (ECRJ), vol. 8(1-2), pages 1-27, 2008. [PDF]
  • Pearl Pu and Li Chen. Trust-Inspiring Interfaces for Recommender Systems. Knowledge-Based Systems (KNOSYS), vol. 20(6), pages 542-556, 2007.
Book Chapters
  • Marko Tkalcic and Li Chen. Personality and Recommender Systems. In Recommender Systems Handbook, 3rd Edition, F. Ricci, L. Rokach, B. Shapira, Eds., Springer, ISBN: 978-1-0716-2197-4, pages 757-787, 2022. [LINK]
  • Li Chen, Wen Wu and Liang He. Personality and Recommendation Diversity. In Emotions and Personality in Personalized Services, M. Tkalčič, B. D. Carolis, M. Gemmis, A. Odić, A. Košir, Eds., Springer, ISBN: 978-3-319-31411-2, pages 201-225, 2016. [LINK]
  • Marko Tkalcic and Li Chen. Personality and Recommender Systems. In Recommender Systems Handbook, 2nd Edition, F. Ricci, L. Rokach, B. Shapira, Eds., Springer, ISBN: 978-1-4899-7636-9, pages 715-739, 2015. [LINK]
  • Anthony Jameson, Martijn C. Willemsen, Alexander Felfernig, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, and Li Chen. Human Decision Making and Recommender Systems. In Recommender Systems Handbook, 2nd Edition, F. Ricci, L. Rokach, B. Shapira, Eds., Springer, ISBN: 978-1-4899-7636-9, pages 611-648, 2015. [LINK]
  • Quan Yuan, Li Chen and Shiwan Zhao. Augmenting Collaborative Recommenders by Fusing Social Relationships: Membership and Friendship. In Recommender Systems for the Social Web, J. J. P. Arias, R. P. D. Redondo, A. F. Vilas, Eds., Springer-Verlag Berlin Heidelberg, ISBN: 978-3-642-25693-6, Chapter 8, pages 159-175, 2012. (Invited book chapter) [LINK]
  • 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, ISBN: 978-0-387-85819-7, Chapter 16, pages 511-546, 2011. [LINK]
Edited Journal Special Issues and Conference/Workshop Proceedings
  • Yong Zheng, Li Chen, Markus Zanker, and Panagiotis Symeonidis. Special Issue on Advances in Recommender Systems, Journal of Intelligent Information Systems (JIIS), vol. 58(2), 2022.
  • Bruce Ferwerda, Li Chen, and Marko Tkalčič. Special Issue on Psychological Models for Personalized Human-Computer Interaction (HCI), Frontiers in Psychology, vol. 12, 673092, 2021. [DOI]
  • Rodrygo Santos, Leandro Marinho, Elizabeth M. Daly, and Li Chen. Proceedings of 14th ACM Conference on Recommender Systems, Virtual Event, September 22-26, 2020. [ACM DL]
  • Jie Zhang, Tanja Mitrovic, David Chin, and Li Chen. Proceedings of 26th ACM Conference on User Modeling, Adaptation and Personalization (UMAP’18), Singapore, July 8-11, 2018. [ACM DL]
  • Li Chen et al. Companion Proceedings of 23rd ACM Conference on Intelligent User Interfaces (IUI’18), Tokyo, Japan, March 7-11, 2018. [ACM DL]
  • Li Chen and Jalal Mahmud. Poster Proceedings of 8th ACM Conference on Recommender Systems (RecSys’14), Foster City, Silicon Valley, USA, October 6-10, 2014. [CEUR]
  • Jian Wang, Ido Guy, and Li Chen. Workshop Proceedings of 5th Social Recommender Systems, in conjunction with 23rd International World Wide Web Conference (WWW’14), Seoul, Korea, April 8-11, 2014.
  • Li Chen, Marco deGemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, and Giovanni Semeraro. Human Decision Making and Recommender Systems, ACM Transactions on Interactive Intelligent Systems (TIIS), vol. 3(3), 2013.
  • Li Chen, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro, Martjin Willemsen. Workshop Proceedings of Human Decision Making in Recommender Systems, in conjunction with 7th ACM Conference on Recommender Systems (RecSys’13), Hong Kong, October 12-16, 2013.
  • Ido Guy, Li Chen and Michelle X. Zhou. Workshop Proceedings of 4th Social Recommender Systems, in conjunction with 22nd International World Wide Web Conference (WWW’13), Rio de Janeiro, Brazil, May 13-17, 2013.
  • Ido Guy, Li Chen and Michelle X. Zhou. 2nd Special Issue on Social Recommender Systems, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 4(1), 2013.
  • Li Chen, Alexander Felfernig, Jiming Liu, Zbigniew W. Ras. Foundations of Intelligent Systems, Proceedings of 20th International Symposium on Methodologies for Intelligent Systems (ISMIS), Springer, LNAI 7661, ISBN: 0302-9743, 2012.
  • Yue Xu, Hui Wang, Li Chen, Niall Rooney, Yuefeng Li. Proceedings of International Workshop on Web Personalization, Recommender Systems and Social Media (WPRSM 2012), in conjunction with 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI’12), IEEE, Macau, October 04-07, 2012.
  • Eelco Herder, Kalina Yacef, Li Chen and Stephan Weibelzahl. Workshop and Poster Proceedings of 20th Conference on User Modeling, Adaptation, and Personalization (UMAP’12), CEUR-WS, ISBN: 1613-0073, Montreal, Canada, July 16-20, 2012. [CEUR]
  • Ido Guy, Li Chen and Michelle X. Zhou. Workshop Proceedings of 3rd Social Recommender Systems, in conjunction with 20th Conference on User Modeling, Adaptation, and Personalization (UMAP’12), Montreal, Canada, July 16-20, 2012. [CEUR]
  • Ido Guy, Li Chen and Michelle X. Zhou. 1st Special Issue on Social Recommender Systems, ACM Transactions on Intelligent Systems and Technology (TIST), vol. 3(1), October 2011.
  • Alexander Felfernig, Li Chen and Monika Mandl. Workshop Proceedings of Human Decision Making in Recommender Systems, in conjunction with ACM Conference on Recommender Systems (RecSys’11), Chicago, IL, USA, October 23-27, 2011. [PDF]
  • Ido Guy, Li Chen and Michelle X. Zhou. Workshop Proceedings of 2nd Social Recommender Systems, in conjunction with ACM Conference on Computer Supported Cooperative Work (CSCW’11), Hangzhou, China, March 19-23, 2011.
Conference Papers
  • Lei Li, Yongfeng Zhang, Dugang Liu, and Li Chen. Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (COLING’24), Turin, Italy, May 20-25, 2024. (to appear)
  • Yucheng Jin, Wanling Cai, Li Chen, Yizhe Zhang, Gavin Doherty, and Tonglin Jiang. Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults. In Proceedings of the 42nd ACM Conference on Human Factors in Computing Systems (CHI’24), Honolulu, Hawaii, USA, May 11-16, 2024. (to appear)
  • Riwei Lai, Rui Chen, Qilong Han, Chi Zhang and Li Chen. Adaptive Hardness Negative Sampling for Collaborative Filtering. In Proceedings of the 38th Annual AAAI Conference on Artificial Intelligence (AAAI’24), Vancouver, Canada, February 20-27, 2024. (to appear)
  • Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, and Ji-Rong Wen. REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths. In Proceedings of the 37th Annual Conference on Neural Information Processing Systems (NeurIPS’23), Dataset and Benchmarks Track, New Orleans, Louisiana, USA, December 10-16, 2023. [PDF]
  • Lei Li, Yongfeng Zhang, and Li Chen. Prompt Distillation for Efficient LLM-based Recommendation. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM’23), pages 1348-1357, Birmingham, UK, October 21-25, 2023.
  • Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, and Li Chen. Augmented Negative Sampling for Collaborative Filtering. In Proceedings of the 17th ACM Conference on Recommender Systems (RecSys’23), pages 256-266, Singapore, September 18-22, 2023.
  • Wanling Cai, Yucheng Jin, Xianglin Zhao, and Li Chen. “Listen to Music, Listen to Yourself”: Design of a Conversational Agent for Supporting Self-Awareness in Music Listening. In Proceedings of the 41st ACM Conference on Human Factors in Computing Systems (CHI’23), Article 119, pages 1–19, Hamburg, Germany, April 23-28, 2023. [PDF]
  • Riwei Lai, Li Chen, Yuhan Zhao, Rui Chen, and Qilong Han. Disentangled Negative Sampling for Collaborative Filtering. In Proceedings of the 16th ACM International Conference on Web Search and Data Mining (WSDM’23), pages 96–104, February 27-March 3, 2023. [PDF]
  • Riwei Lai, Shitong Xiao, Rui Chen, Li Chen, Qilong Han, and Li Li. Multiple Neighbor Relation Enhanced Graph Collaborative Filtering. In Proceedings of the 21st IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT’22), pages 40-47, Niagara Falls, Canada, November 17-20, 2022. [Best Student Paper Award] [PDF]
  • Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Zhong Ming, and Li Chen. Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. In Proceedings of the 16th ACM Conference on Recommender Systems (RecSys’22), pages 268–277, September 18-23, 2022. [PDF]
  • Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, and Lei Li. TUR: Utilizing Temporal Information to Make Unexpected E-commerce Recommendations. In Proceedings of the 23rd International Conference on Web Information Systems Engineering (WISE’22), pages 553-563, October 31-November 3, 2022. [PDF]
  • Li Chen, Zhirun Zhang, Xinzhi Zhang, and Lehong Zhao. A Pilot Study for Understanding Users’ Attitudes Towards a Conversational Agent for News Recommendation. In Proceedings of ACM Conference on Conversational User Interfaces (CUI’22), Article 36, 1–6, July 26-28, 2022. [PDF]
  • Zhirun Zhang, Yucheng Jin, and Li Chen. A Diary Study of Social Explanations for Recommendations in Daily Life. In Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP’22 Adjunct), pages 200–208, July 4-7, 2022. [PDF]
  • Wanling Cai, Yucheng Jin, and Li Chen. Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems. In Proceedings of the 40th ACM Conference on Human Factors in Computing Systems (CHI’22), Article 489, pages 1-14, April 30-May 5, 2022. [Honourable Mention Award] [PDF]
  • Yucheng Jin, Li Chen, Wanling Cai, and Pearl Pu. Key Qualities of Conversational Recommender Systems: From Users’ Perspective. In Proceedings of the 9th International Conference on Human-Agent Interaction (HAI’21), pages 93-102, November 9-11, 2021. [PDF]
  • Ningxia Wang and Li Chen. User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms. In Proceedings of 15th ACM Conference on Recommender Systems (RecSys’21), pages 133-142, September 27-October 1, 2021. (Acceptance rate: 18.4%) [PDF]
  • Zhirun Zhang, Xinzhi Zhang, and Li Chen. Informing the Design of a News Chatbot. In Proceedings of 21th ACM International Conference on Intelligent Virtual Agents (IVA’21), pages 224-231, September 14-17, 2021. [PDF]
  • Lei Li, Yongfeng Zhang, and Li Chen. Personalized Transformer for Explainable Recommendation. In Proceedings of 59th Annual Meeting of the Association for Computational Linguistics (ACL’21), pages 4947-4957, August 1-6, 2021. [PDF]
  • Lei Li, Yongfeng Zhang, and Li Chen. EXTRA: Explanation Ranking Datasets for Explainable Recommendation. In Proceedings of 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’21), pages 2463-2469, July 11-15, 2021. [PDF]
  • Wanling Cai, Yucheng Jin, and Li Chen. Critiquing for Music Exploration in Conversational Recommender Systems. In Proceedings of 26th International Conference on Intelligent User Interfaces (IUI’21), pages 480-490, April 14-17, 2021. [PDF]
  • Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, and Jianliang Xu. BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. In Proceedings of 3rd International Workshop on Mobile Ubiquitous Systems and Technologies (MUST’21), pages 381-397, April 11-14, 2021. [Best Paper Award]
  • Lei Li, Yongfeng Zhang, and Li Chen. Generating Neural Template Explanations for Recommendation. In Proceedings of 29th ACM International Conference on Information and Knowledge Management (CIKM’20), pages 755-764, October 19-23, 2020. (Acceptance rate: 21%) [PDF]
  • Wanling Cai and Li Chen. Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations. In Proceedings of 28th Conference on User Modeling, Adaptation and Personalization (UMAP’20), pages 33-42, July 14-17, 2020. (Acceptance rate: 23%) [Best Student Paper Award] [PDF] [Dataset release]
  • Ningxia Wang, Li Chen, and Yonghua Yang. The Impacts of Item Features and User Characteristics on Users’ Perceived Serendipity of Recommendations. In Proceedings of 28th Conference on User Modeling, Adaptation and Personalization (UMAP’20), pages 266–274, July 14-17, 2020. (Acceptance rate: 23%) [PDF] [Dataset release]
  • Lei Li, Li Chen, and Yongfeng Zhang. Towards Controllable Explanation Generation for Recommender Systems via Neural Template. In Companion Proceedings of The Web Conference 2020 (WWW’20), Demo, pages 198-202, April 20–24, 2020.[PDF]
  • Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, and Katrien Verbert. MusicBot: Evaluating Critiquing-based Music Recommenders with Conversational Interaction. In Proceedings of 28th ACM International Conference on Information and Knowledge Management (CIKM’19), pages 951–960, Beijing, China, November 3-7, 2019. (Acceptance rate: 19.4%) [PDF]
  • Wanling Cai and Li Chen. Towards a Taxonomy of User Feedback Intents for Conversational Recommendations. In Proceedings of 13th ACM Conference on Recommender Systems (RecSys’19), Late-Breaking Results, Copenhagen, Denmark, September 16-20, 2019. [PDF]
  • Li Chen, Yonghua Yang, Ningxia Wang, Keping Yang, and Quan Yuan. How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. In Proceedings of The Web Conference 2019 (WWW’19), pages 240-250, San Francisco, USA, May 13-17, 2019. (accepted as full paper with oral presentation; Acceptance rate: 18%) [PDF]
  • Lei Li, Ruihai Dong, and Li Chen. Context-aware Co-Attention Neural Network for Service Recommendations. In Proceedings of ICDE’19 Workshop on Recommender Systems with Big Data, pages 201-208, Macau, China, April 8-12, 2019. [PDF]
  • Lei Li, Weike Pan, Li Chen, and Zhong Ming. RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood . In Proceedings of 2018 International Conference on Web Services (ICWS’18), pages 326-336, Seattle, USA, June 25-30, 2018. [PDF]
  • Wen Wu, Li Chen, and Qingchang Yang. Inferring Students’ Sense of Community from Their Communication Behavior in Online Courses. In Proceedings of 2017 25th ACM Conference on User Modeling, Adaptation and Personalization (UMAP’17), pages 238-246, Bratislava, Slovakia, July 9-12, 2017. [PDF]
  • Dongning Yan and Li Chen. Review-based Screening Interface for Improving Users’ Decision Process in E-commerce. In Proceedings of 19th International Conference on Human-Computer Interaction (HCII’17), pages 130-142, Vancouver, Canada, July 9-14, 2017. [PDF]
  • Li Chen and Feng Wang. Explaining Recommendations Based on Feature Sentiments in Product Reviews. In Proceedings of 22nd ACM International Conference on Intelligent User Interfaces (IUI’17), pages 17-28, Limassol, Cyprus, March 13-16, 2017. (Acceptance rate: 23%) [PDF]
  • Feng Wang, Li Chen, and Weike Pan. Where to Place Your Next Restaurant? Optimal Restaurant Placement via Leveraging User-Generated Reviews. In Proceedings of 25th ACM International Conference on Information and Knowledge Management (CIKM’16), pages 2371-2376, Indianapolis, USA, October 24-28, 2016. [PDF]
  • Li Chen, Feng Wang and Wen Wu. Inferring Users’ Critiquing Feedback on Recommendations from Eye Movements. In Proceedings of 24th International Conference on Case Based Reasoning (ICCBR’16), pages 62-76, Atlanta Georgia, USA, October 31 – November 2, 2016. [PDF]
  • Feng Wang and Li Chen. A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses. In Proceedings of 2016 9th International Conference on Educational Data Mining (EDM’16), pages 527-532, Raleigh, NC, USA, June 29 – July 2, 2016. [PDF]
  • Wen Wu, Li Chen, and Qingchang Yang. Students’ Personality and Chat Room Behavior in Synchronous Online Learning. In Proceedings of 2016 24th ACM Conference on User Modeling, Adaptation and Personalization (UMAP’16) – Late Breaking Results, Halifax, NS, Canada, July 13-17, 2016. [PDF]
  • Li Chen and Feng Wang. An Eye-Tracking Study: Implication to Implicit Critiquing Feedback Elicitation in Recommender Systems. In Proceedings of 2016 24th ACM Conference on User Modeling, Adaptation and Personalization (UMAP’16), pages 163-167, Halifax, NS, Canada, July 13-17, 2016. [PDF]
  • Li Chen. Personality in Recommender Systems. Keynote abstract in Proceedings of 3rd Workshop on Emotions and Personality in Personalized Systems (EMPIRE’15), in conjunction with 9th ACM Conference on Recommender Systems, Vienna, Austria, September 16 – 20, 2015. [PDF]
  • Wen Wu and Li Chen. Implicit Acquisition of User Personality for Augmenting Movie Recommendations. In Proceedings of 23rd Conference on User Modeling, Adaptation and Personalization (UMAP’15), pages 302-314, Dublin, Ireland, June 29 – July 3, 2015. [Best Student Paper Award] [PDF]
  • Dongning Yan and Li Chen. An Empirical Study of User Decision Making Behavior in E-commerce. In Proceedings of 2nd International Conference on HCI in Business (HCIB), as part of the 17th International Conference on Human-Computer Interaction (HCII’15), pages 414-426, Los Angeles, CA, USA, August 2-7, 2015.
  • Guanliang Chen and Li Chen. Recommendation based on Contextual Opinions. In Proceedings of 2014 22nd Conference on User Modeling, Adaptation and Personalization (UMAP’14), pages 61-73, Aalborg, Denmark, July 7-11, 2014. (Acceptance rate: 16% for long paper) [Nominee of Best Student Paper Award] [PDF]
  • Haoran Xie, Li Chen and Feng Wang. Collaborative Compound Critiquing. In Proceedings of 2014 22nd Conference on User Modeling, Adaptation and Personalization (UMAP’14), pages 254-265, Aalborg, Denmark, July 7-11, 2014. (Acceptance rate: 16% for long paper) [PDF]
  • Li Chen and Feng Wang. Sentiment-Enhanced Explanation of Product Recommendations. In Proceedings of 23rd International World Wide Web Conference (WWW’14) – Companion, pages 239-240, Seoul, Korea, April 8-11, 2014. [PDF] [Poster]
  • Weike Pan and Li Chen. GBPR: Group Preference based Bayesian Personalized Ranking for One-Class Collaborative Filtering. In Proceedings of 23rd International Joint Conference on Artificial Intelligence (IJCAI’13), pages 2691-2697, Beijing, China, August 3-9, 2013. (Acceptance rate: 13.2% for oral presentation) [PDF]
  • Feng Wang, Weike Pan and Li Chen. Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications. In Proceedings of 2013 21st Conference on User Modeling, Adaptation and Personalization (UMAP’13), pages 281-288, Rome, Italy, June 10-14, 2013. [PDF] [Slides]
  • Li Chen, Wen Wu and Liang He. How Personality Influences Users’ Needs for Recommendation Diversity? In Proceedings of 2013 SIGCHI Conference on Human Factors in Computing Systems (CHI’13) – Extended Abstracts, pages 829-834, Paris, France, April 27 – May 2, 2013. [PDF] [Poster]
  • Wen Wu, Li Chen and Liang He. Using Personality to Adjust Diversity in Recommender Systems. In Proceedings of 24th ACM Conference on Hypertext and Social Media (HT’13), pages 225-229, Paris, France, May 1–3, 2013. [PDF]
  • Weike Pan and Li Chen. CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets. In Proceedings of SIAM International Conference on Data Mining (SDM’13), pages 180-188, Austin, Texas, USA, May 2-4, 2013. (Acceptance rate: 25.5%) [Nominee of Best Paper Award] [PDF]
  • Wei Zeng and Li Chen. Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources. In Proceedings of 26th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE’13), pages 361-371, Amsterdam, Netherlands, June 17-21, 2013. [PDF] [Slides]
  • Wei Zeng and Li Chen. Heterogeneous Data Fusion via Matrix Factorization for Augmenting Item, Group and Friend Recommendations. In Proceedings of 28th ACM Symposium on Applied Computing (SAC’13), pages 237-244, Coimbra, Portugal, March 18-22, 2013. [PDF]
  • Feng Wang and Li Chen. Recommending Inexperienced Products via Learning from Consumer Reviews. In Proceedings of 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI’12), pages 597-603, Macau, December 04-07, 2012. [PDF]
  • Feng Wang and Li Chen. Recommendation based on Mining Product Reviewers’ Preference Similarity Network. In 2012 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD’12), Sixth Workshop on Social Network Mining and Analysis (SNA-KDD’12), Beijing, China, August 12-16, 2012. [PDF]
  • Li Chen and Ho Keung Tsoi. Users’ Decision Behavior in Recommender Interfaces: Impact of Layout Design. In ACM Conference on Recommender Systems (RecSys’11), Workshop on Human Decision Making in Recommender Systems, October 23-27, 2011. [PDF]
  • Quan Yuan, Li Chen and Shiwan Zhao. Factorization vs. Regularization: Fusing Heterogeneous Social Relationships in Top-N Recommendation. In Proceedings of the 5th ACM Conference on Recommender Systems (RecSys’11), pages 245-252, Chicago, IL, USA, October 23-27, 2011. (Acceptance rate: 27%) [PDF]
  • 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]
  • Ho Keung Tsoi and Li Chen. From Privacy Concern to Uses of Social Network Sites: A Cultural Comparison via User Survey. In Proceedings of 3rd IEEE International Conference on Social Computing (SocialCom’11), pages 457-464, MIT, Boston, USA, October 9-11, 2011. (Acceptance rate: 10%) [PDF]
  • Li Chen and Ho Keung Tsoi. Privacy Concern and Trust in Using Social Network Sites: A Comparison between French and Chinese Users. In Proceedings of 13th IFIP TC13 Conference on Human-Computer Interaction (Interact’11), pages 234-241, Lisbon, Portugal, Sept. 5-9, 2011. (Acceptance rate: 22%) [PDF]
  • Luole Qi and Li Chen. Comparison of Model-Based Learning Methods for Feature-Level Opinion Mining. In Proceedings of 2011 IEEE/WIC/ACM International Conference on Web Intelligence (WI’11), pages 265-273, Lyon, France, August 22-27, 2011. (Acceptance rate: 20.5%) [PDF]
  • Ho Keung Tsoi and Li Chen. Incremental Tag-Aware User Profile Building to Augment Item Recommendations. In ACM Conference on Computer Supported Cooperative Work (CSCW’11), 2nd Workshop on Social Recommender Systems (SRS’11), Hangzhou, China, March 19-23, 2011. [PDF]
  • Li Chen and Ho Keung Tsoi. Analysis of User Tags in Social Music Sites: Implications for Cultural Differences. In Extended Abstracts of ACM Conference on Computer Supported Cooperative Work (CSCW’11), Hangzhou, China, March 19-23, 2011. [PDF]
  • Li Chen and Pearl Pu. Users’ Eye Gaze Pattern in Organization-based Recommender Interfaces. In Proceedings of ACM International Conference on Intelligent User Interfaces (IUI’11), pages 311-314, Palo Alto, California, USA, February 13-16, 2011. [PDF]
  • Weishi Zhang, Guiguang Ding, Li Chen and Chunping Li. Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification. In 10th IEEE International Conference on Data Mining (ICDM’10), Workshop on Topic Feature Discovery and Opinion Mining (TFDOM’10), pages 1143-1150, Sydney, Australia, December 14, 2010. [PDF]
  • Luole Qi and Li Chen. A Linear-Chain CRF-based Learning Approach for Web Opinion Mining. In 11th International Conference on Web Information System Engineering (WISE’10), pages 128-141, Hong Kong, China, December 12-14, 2010. (Acceptance rate: 18.8%) [PDF]
  • Li Chen. Towards Three-Stage Recommender Support for Online Consumers: Implications from a User Study. In 11th International Conference on Web Information System Engineering (WISE’10), pages 365-375, Hong Kong, China, December 12-14, 2010. (Acceptance rate: 30%) [PDF]
  • Weishi Zhang, Guiguang Ding, Li Chen and Chunping Li. Augmenting Online Video Recommendations by Fusing Review Sentiment Classification. In ACM Conference on Recommender Systems (RecSys’10), Workshop on Recommender Systems and the Social Web (RSWeb’10), Barcelona, Spain, Sept. 26-30, 2010.
  • Pearl Pu and Li Chen. A User-Centric Evaluation Framework of Recommender Systems. In ACM Conference on Recommender Systems (RecSys’10), Workshop on User-Centric Evaluation of Recommender Systems and Their Interfaces (UCERSTI’10), pages 14-21, Barcelona, Spain, Sept. 26-30, 2010. [PDF]
  • Li Chen and Luole Qi. A Diary Study of Understanding Contextual Information Needs during Leisure Traveling. In SIGIR Proceedings of 2010 ACM Information Interaction in Context Symposium (IIiX’10), pages 265-269, New Brunswick, NJ, USA, August 18-22, 2010. [PDF]
  • Liang Xiang, Quan Yuan, Shiwan Zhao, Li Chen, Xiatian Zhang, and Jimeng Sun. Temporal Recommendation on Graphs via Long- and Short-term Preference Fusion. In Proceedings of 2010 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD’10), pages 723-732, Washington DC, USA, July 25-28, 2010. (Acceptance rate: 17%) [PDF]
  • Li Chen and Pearl Pu. Eye-Tracking Study of User Behavior in Recommender Interfaces. In Proceedings of 2010 International Conference on User Modeling, Adaptation and Personalization (UMAP’10), pages 375-380, Big Island, Hawaii, USA, June 20-24, 2010. (Acceptance rate: 20%) [PDF]
  • Li Chen and Pearl Pu. User Evaluation Framework of Recommender Systems. In ACM International Conference on Intelligent User Interfaces (IUI’10), Workshop on Social Recommender Systems (SRS’10), Hong Kong, China, February 7-10, 2010. [PDF]
  • Li Chen. Social Influence of Product Popularity on Consumer Decisions: Usability Study of Flickr Camera Finder. In Proceedings of International Conference on Intelligent User Interfaces (IUI’10), pages 297-300, Hong Kong, China, February 7-10, 2010. (Acceptance rate: 27.7%) [PDF]
  • Quan Yuan, Shiwan Zhao, Li Chen, Shengchao Ding, Xiatian Zhang and Wentao Zheng. Augmenting Collaborative Recommender by Fusing Explicit Social Relationships. In ACM Conference on Recommender Systems (RecSys’09), workshop on Recommender Systems and the Social Web, New York City, NY, USA, October 22-25, 2009. [PDF]
  • Li Chen. Adaptive Tradeoff Explanations in Conversational Recommenders. In Proceedings of ACM Conference on Recommender Systems (RecSys’09), pages 225-228, New York City, NY, USA, October 22-25, 2009. (Acceptance rate: 20%) [PDF]
  • Li Chen. Adapting Recommendations Organization to User Preferences. In 2009 IEEE/WIC/ACM International Conference on Web Intelligence (WI’09), workshop on Intelligent Web Interaction (IWI’09), pages 58-61, Milan, Italy, Sept. 15-18, 2009.[PDF]
  • Li Chen and Pearl Pu. Critiquing-based Map Information Seeking. In IADIS International Conference on Interfaces and Human Computer Interaction (IHCI’09), pages 218-222, Algarve, Portugal, June 20-22, 2009.[PDF]
  • Nicolas Jones, Pearl Pu and Li Chen. How Users Perceive and Appraise Personalized Recommendations. In Proceedings of User Modeling, Adaptation, and Personalization Conference (UMAP’09), pages 461-466, Trento, Italy, June 22-26, 2009. (Acceptance rate: 16.2%) [PDF]
  • Li Chen and Pearl Pu. A Cross-Cultural User Evaluation of Product Recommender Interfaces. In Proceedings of ACM Conference on Recommender Systems (RecSys’08), pages 75-82, Lausanne, Switzerland, October 23-25, 2008. (Acceptance rate: 22.2%)[PDF]
  • 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, Minnesota, USA, October 19-20, 2007.[PDF]
  • Li Chen and Pearl Pu. Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems. In Proceedings of International Conference on User Modeling (UM’07), pages 77-86, Corfu, Greece, June 25-29, 2007. (Acceptance rate: 19.6%) [Best Student Paper Award] [PDF]
  • Li Chen and Pearl Pu. Hybrid Critiquing-based Recommender Systems. In Proceedings of International Conference on Intelligent User Interfaces (IUI’07), pages 22-31, Hawaii, USA, January 28-31, 2007. (Acceptance rate: 22%)[PDF]
  • 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]
  • Pearl Pu and Li Chen. Trust Building with Explanation Interfaces. In Proceedings of International Conference on Intelligent User Interfaces (IUI’06), pages 93-100, Sydney, Australia, January 29-February 1, 2006. (Acceptance rate: 24%) [Nominee of Best Paper Award] [PDF]
  • Pearl Pu and Li Chen. Integrating Tradeoff Support in Product Search Tools for E-Commerce Sites. In Proceeding of ACM Conference on Electronic Commerce (EC’05), pages 269-278, Vancouver, Canada, June 5-8, 2005. (Acceptance rate: 28%)[PDF]
  • 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’05), pages 135-145, Reading, UK, October 3-7, 2005.[PDF]
  • Li Chen and Pearl Pu. Survey of Preference Elicitation Methods, Technical Report No. IC/200467, Swiss Federal Institute of Technology in Lausanne (EPFL), Lausanne, Switzerland, July 2004.[PDF]
PhD Thesis
  • Li Chen. User Decision Improvement and Trust Building in Product Recommender Systems. PhD thesis, Swiss Federal Institute of Technology in Lausanne (EPFL), No. 4140, Lausanne, Switzerland, July 2008. [Nominated for Best PhD Thesis Award][PDF]
Before 2004
  • Li Chen, Peixiang Zhao, Lijun Chen, Dongqing Yang, Shiwei Tang. A Materialized View-based Data Synchronization Mechanism in Mobile Database. In Proceedings of 19th China National Conference on Databases, Zhengzhou, China, August 2002.
  • Li Chen, Peixiang Zhao, Lijun Chen, Dongqing Yang, Shiwei Tang. A Materialized View-based Data Synchronization Mechanism in Mobile Database. In Chinese Journal of Computer Science, vol.29 (8), pages 211-214, 2002.