Integrating tradeoff support in product search tools for e-commerce sites. - Pearl Pu; Li Chen 009 (EC, 2005)

Evaluating Critiquing-based Recommender Agents. - Li Chen 009; Pearl Pu (AAAI, 2006)

Trust building with explanation interfaces. - Pearl Pu; Li Chen 009 (IUI, 2006)

Hybrid critiquing-based recommender systems. - Li Chen 009; Pearl Pu (IUI, 2007)

The evaluation of a hybrid critiquing system with preference-based recommendations organization. - Li Chen 009; Pearl Pu (RecSys, 2007)

Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems. - Li Chen 009; Pearl Pu (User Modeling, 2007)

Trust-inspiring explanation interfaces for recommender systems. - Pearl Pu; Li Chen 009 (Knowl. Based Syst., 2007)

A cross-cultural user evaluation of product recommender interfaces. - Li Chen 009; Pearl Pu (RecSys, 2008)

User-Involved Preference Elicitation for Product Search and Recommender Systems. - Pearl Pu; Li Chen 009 (AI Mag., 2008)

Evaluating product search and recommender systems for E-commerce environments. - Pearl Pu; Li Chen 009; Pratyush Kumar (Electron. Commer. Res., 2008)

User decision improvement and trust building in product recommender systems. - Li Chen 009 (2008)

Adapting Recommendations Organization to User Preferences. - Li Chen 009 (Web Intelligence/IAT Workshops, 2009)

Adaptive tradeoff explanations in conversational recommenders. - Li Chen 009 (RecSys, 2009)

How Users Perceive and Appraise Personalized Recommendations. - Nicolas Jones; Pearl Pu; Li Chen 009 (UMAP, 2009)

Interaction design guidelines on critiquing-based recommender systems. - Li Chen 009; Pearl Pu (User Model. User Adapt. Interact., 2009)

Understanding buyers' social information needs during purchase decision process. - Li Chen 009 (ICEC, 2010)

Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification. - Weishi Zhang; Guiguang Ding; Li Chen 009; Chunping Li (ICDM Workshops, 2010)

A diary study of understanding contextual information needs during leisure traveling. - Li Chen 009; Luole Qi (IIiX, 2010)

Social influence of product popularity on consumer decisions: usability study of Flickr camera finder. - Li Chen 009 (IUI, 2010)

Workshop on social recommender systems. - Ido Guy; Li Chen 009; Michelle X. Zhou (IUI, 2010)

Temporal recommendation on graphs via long- and short-term preference fusion. - Liang Xiang; Quan Yuan; Shiwan Zhao; Li Chen 009; Xiatian Zhang; Qing Yang 002; Jimeng Sun 001 (KDD, 2010)

Eye-Tracking Study of User Behavior in Recommender Interfaces. - Li Chen 009; Pearl Pu (UMAP, 2010)

Towards Three-Stage Recommender Support for Online Consumers: Implications from a User Study. - Li Chen 009 (WISE, 2010)

A Linear-Chain CRF-Based Learning Approach for Web Opinion Mining. - Luole Qi; Li Chen 009 (WISE, 2010)

Experiments on the preference-based organization interface in recommender systems. - Li Chen 009; Pearl Pu (ACM Trans. Comput. Hum. Interact., 2010)

Privacy Concern and Trust in Using Social Network Sites: A Comparison between French and Chinese Users. - Li Chen 009; Ho Keung Tsoi (INTERACT (3), 2011)

Users' eye gaze pattern in organization-based recommender interfaces. - Li Chen 009; Pearl Pu (IUI, 2011)

RecSys'11 workshop on human decision making in recommender systems. - Alexander Felfernig; Li Chen 009; Monika Mandl (RecSys, 2011)

A user-centric evaluation framework for recommender systems. - Pearl Pu; Li Chen 009; Rong Hu (RecSys, 2011)

Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation. - Quan Yuan; Li Chen 009; Shiwan Zhao (RecSys, 2011)

From Privacy Concern to Uses of Social Network Sites: A Cultural Comparison via User Survey. - Ho Keung Tsoi; Li Chen 009 (SocialCom/PASSAT, 2011)

Comparison of Model-Based Learning Methods for Feature-Level Opinion Mining. - Luole Qi; Li Chen 009 (Web Intelligence, 2011)

Social opinion mining for supporting buyers' complex decision making: exploratory user study and algorithm comparison. - Li Chen 009; Luole Qi (Soc. Netw. Anal. Min., 2011)

Introduction. - Ido Guy; Li Chen 009; Michelle X. Zhou (ACM Trans. Intell. Syst. Technol., 2011)

Usability Guidelines for Product Recommenders Based on Example Critiquing Research. - Pearl Pu; Boi Faltings; Li Chen 009; Jiyong Zhang; Paolo Viappiani (Recommender Systems Handbook, 2011)

Recommending Inexperienced Products via Learning from Consumer Reviews. - Feng Wang 009; Li Chen 009 (Web Intelligence, 2012)

Comparison of feature-level learning methods for mining online consumer reviews. - Li Chen 009; Luole Qi; Feng Wang 009 (Expert Syst. Appl., 2012)

Critiquing-based recommenders: survey and emerging trends. - Li Chen 009; Pearl Pu (User Model. User Adapt. Interact., 2012)

Evaluating recommender systems from the user's perspective: survey of the state of the art. - Pearl Pu; Li Chen 009; Rong Hu (User Model. User Adapt. Interact., 2012)

Augmenting Collaborative Recommenders by Fusing Social Relationships: Membership and Friendship. - Quan Yuan; Li Chen 009; Shiwan Zhao (Recommender Systems for the Social Web, 2012)

How personality influences users' needs for recommendation diversity? - Li Chen 009; Wen Wu 006; Liang He 001 (CHI Extended Abstracts, 2013)

Using personality to adjust diversity in recommender systems. - Wen Wu 006; Li Chen 009; Liang He 001 (HT, 2013)

Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources. - Wei Zeng 013; Li Chen 009 (IEA/AIE, 2013)

GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering. - Weike Pan; Li Chen 009 (IJCAI, 2013)

Workshop on human decision making in recommender systems: decisions@RecSys'13. - Li Chen 009; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Francesco Ricci 001; Giovanni Semeraro; Martijn C. Willemsen (RecSys, 2013)

Heterogeneous data fusion via matrix factorization for augmenting item, group and friend recommendations. - Wei Zeng 013; Li Chen 009 (SAC, 2013)

CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets. - Li Chen 009; Weike Pan (SDM, 2013)

Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications. - Feng Wang 009; Weike Pan; Li Chen 009 (UMAP, 2013)

A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion. - Li Chen 009; Wei Zeng 013; Quan Yuan (Expert Syst. Appl., 2013)

Preference-based clustering reviews for augmenting e-commerce recommendation. - Li Chen 009; Feng Wang 009 (Knowl. Based Syst., 2013)

Human Decision Making and Recommender Systems. - Li Chen 009; Marco de Gemmis; Alexander Felfernig; Pasquale Lops; Francesco Ricci 001; Giovanni Semeraro (ACM Trans. Interact. Intell. Syst., 2013)

Introduction to the special section on social recommender systems. - Ido Guy; Li Chen 009; Michelle X. Zhou (ACM Trans. Intell. Syst. Technol., 2013)

Generating virtual ratings from chinese reviews to augment online recommendations. - Weishi Zhang; Guiguang Ding; Li Chen 009; Chunping Li; Chengbo Zhang (ACM Trans. Intell. Syst. Technol., 2013)

Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment. - Li Chen 009; William K. Cheung 001 (ICDM Workshops, 2014)

Recommendation Based on Contextual Opinions. - Guanliang Chen; Li Chen 009 (UMAP, 2014)

Collaborative Compound Critiquing. - Haoran Xie 001; Li Chen 009; Feng Wang 009 (UMAP, 2014)

Sentiment-enhanced explanation of product recommendations. - Li Chen 009; Feng Wang 009 (WWW (Companion Volume), 2014)

Experiments on user experiences with recommender interfaces. - Li Chen 009; Pearl Pu (Behav. Inf. Technol., 2014)

An Adaptive Fusion Algorithm for Spam Detection. - Congfu Xu; Baojun Su; Yunbiao Cheng; Weike Pan; Li Chen 009 (IEEE Intell. Syst., 2014)

Experiment on sentiment embedded comparison interface. - Li Chen 009; Feng Wang 009; Luole Qi; Fengfeng Liang (Knowl. Based Syst., 2014)

News impact on stock price return via sentiment analysis. - Xiaodong Li 007; Haoran Xie 001; Li Chen 009; Jianping Wang 001; Xiaotie Deng (Knowl. Based Syst., 2014)

An Empirical Study of User Decision Making Behavior in E-Commerce. - Dongning Yan; Li Chen 009 (HCI (23), 2015)

Personality in Recommender Systems. - Li Chen 009 (EMPIRE@RecSys, 2015)

Implicit Acquisition of User Personality for Augmenting Movie Recommendations. - Wen Wu 006; Li Chen 009 (UMAP, 2015)

Emotional States Associated with Music: Classification, Prediction of Changes, and Consideration in Recommendation. - James J. Deng; Clement H. C. Leung; Alfredo Milani; Li Chen 009 (ACM Trans. Interact. Intell. Syst., 2015)

Augmenting service recommender systems by incorporating contextual opinions from user reviews. - Guanliang Chen; Li Chen 009 (User Model. User Adapt. Interact., 2015)

Recommender systems based on user reviews: the state of the art. - Li Chen 009; Guanliang Chen; Feng Wang 009 (User Model. User Adapt. Interact., 2015)

Review mining for estimating users' ratings and weights for product aspects. - Feng Wang 009; Li Chen 009 (Web Intell., 2015)

Human Decision Making and Recommender Systems. - Anthony Jameson; Martijn C. Willemsen; Alexander Felfernig; Marco de Gemmis; Pasquale Lops; Giovanni Semeraro; Li Chen 009 (Recommender Systems Handbook, 2015)

Personality and Recommender Systems. - Marko Tkalcic; Li Chen 009 (Recommender Systems Handbook, 2015)

Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews. - Feng Wang 009; Li Chen 009; Weike Pan (CIKM, 2016)

A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses. - Feng Wang 009; Li Chen 009 (EDM, 2016)

Inferring Users' Critiquing Feedback on Recommendations from Eye Movements. - Li Chen 009; Feng Wang 009; Wen Wu 006 (ICCBR, 2016)

An Eye-Tracking Study: Implication to Implicit Critiquing Feedback Elicitation in Recommender Systems. - Li Chen 009; Feng Wang 009 (UMAP, 2016)

Students' Personality and Chat Room Behavior in Synchronous Online Learning. - Wen Wu 006; Li Chen 009; Qingchang Yang (UMAP (Extended Proceedings), 2016)

Group Bayesian personalized ranking with rich interactions for one-class collaborative filtering. - Weike Pan; Li Chen 009 (Neurocomputing, 2016)

Personalized search for social media via dominating verbal context. - Haoran Xie 001; Xiaodong Li 007; Tao Wang 036; Li Chen 009; Ke Li 001; Fu Lee Wang; Yi Cai 001; Qing Li 001; Huaqing Min (Neurocomputing, 2016)

Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy. - Haoran Xie 001; Xiaodong Li 007; Tao Wang 036; Raymond Y. K. Lau; Tak-Lam Wong; Li Chen 009; Fu Lee Wang; Qing Li 001 (Inf. Process. Manag., 2016)

Review-Based Screening Interface for Improving Users' Decision Process in E-commerce. - Dongning Yan; Li Chen 009 (HCI (24), 2017)

Explaining Recommendations Based on Feature Sentiments in Product Reviews. - Li Chen 009; Feng Wang 009 (IUI, 2017)

Inferring Students' Sense of Community from Their Communication Behavior in Online Courses. - Wen Wu 006; Li Chen 009; Qingchang Yang (UMAP, 2017)

Investigating users' eye movement behavior in critiquing-based recommender systems. - Li Chen 009; Feng Wang 009; Pearl Pu (AI Commun., 2017)

Personality and Recommendation Diversity. - Li Chen 009; Wen Wu 006; Liang He 001 (Emotions and Personality in Personalized Services, 2017)

RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood. - Lei Li 042; Weike Pan; Li Chen 009; Zhong Ming 001 (ICWS, 2018)

A heterogeneous hidden Markov model for mobile app recommendation. - Victor C. Cheng; Li Chen 009; William K. Cheung 001; Chi-kuen Fok (Knowl. Inf. Syst., 2018)

Incorporating user experience into critiquing-based recommender systems: a collaborative approach based on compound critiquing. - Haoran Xie 001; Debby Dan Wang; Yanghui Rao; Tak-Lam Wong; Raymond Y. K. Lau; Li Chen 009; Fu Lee Wang (Int. J. Mach. Learn. Cybern., 2018)

ACM UMAP 2018 - User Modeling, Adaptation and Personalization: 8-11 July, 2018 at NTU, Singapore. - Jie Zhang 002; Tanja Mitrovic; David Chin; Li Chen 009 (SIGWEB Newsl., 2018)

Personalizing recommendation diversity based on user personality. - Wen Wu 006; Li Chen 009; Yu Zhao 002 (User Model. User Adapt. Interact., 2018)

MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction. - Yucheng Jin; Wanling Cai; Li Chen 009; Nyi Nyi Htun; Katrien Verbert (CIKM, 2019)

Context-Aware Co-attention Neural Network for Service Recommendations. - Lei Li 042; Ruihai Dong; Li Chen 009 (ICDE Workshops, 2019)

Towards a Taxonomy of User Feedback Intents for Conversational Recommendations. - Wanling Cai; Li Chen 009 (RecSys (Late-Breaking Results), 2019)

How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. - Li Chen 009; Yonghua Yang; Ningxia Wang; Keping Yang; Quan Yuan (WWW, 2019)

Inferring Students' Personality from Their Communication Behavior in Web-based Learning Systems. - Wen Wu 006; Li Chen 009; Qingchang Yang; You Li (Int. J. Artif. Intell. Educ., 2019)

User perception of sentiment-integrated critiquing in recommender systems. - Li Chen 009; Dongning Yan; Feng Wang 009 (Int. J. Hum. Comput. Stud., 2019)

Neighborhood-enhanced transfer learning for one-class collaborative filtering. - Wanling Cai; Jiongbin Zheng; Weike Pan; Jing Lin 008; Lin Li 039; Li Chen 009; Xiaogang Peng; Zhong Ming 001 (Neurocomputing, 2019)

Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets. - Weike Pan; Li Chen 009; Zhong Ming 001 (Knowl. Inf. Syst., 2019)

User Evaluations on Sentiment-based Recommendation Explanations. - Li Chen 009; Dongning Yan; Feng Wang 009 (ACM Trans. Interact. Intell. Syst., 2019)

Generate Neural Template Explanations for Recommendation. - Lei Li 042; Yongfeng Zhang; Li Chen 009 (CIKM, 2020)

Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations. - Wanling Cai; Li Chen 009 (UMAP, 2020)

UMAP 2020 Demo and Late-Breaking Results Chairs' Preface. - Li Chen 009; Bart P. Knijnenburg; Frosina Koceva (UMAP (Adjunct Publication), 2020)

The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations. - Ningxia Wang; Li Chen 009; Yonghua Yang (UMAP, 2020)

Towards Controllable Explanation Generation for Recommender Systems via Neural Template. - Lei Li 042; Li Chen 009; Yongfeng Zhang (WWW (Companion Volume), 2020)

Personalized Transformer for Explainable Recommendation. - Lei Li 042; Yongfeng Zhang; Li Chen 009 (ACL/IJCNLP (1), 2021)

BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. - Zhe Peng; Jinbin Huang; Haixin Wang 001; Shihao Wang; Xiaowen Chu 001; Xinzhi Zhang 001; Li Chen 009; Xin Huang 001; Xiaoyi Fu; Yike Guo; Jianliang Xu (DASFAA (Workshops), 2021)

Key Qualities of Conversational Recommender Systems: From Users' Perspective. - Yucheng Jin; Li Chen 009; Wanling Cai; Pearl Pu (HAI, 2021)

Critiquing for Music Exploration in Conversational Recommender Systems. - Wanling Cai; Yucheng Jin; Li Chen 009 (IUI, 2021)

Informing the Design of a News Chatbot. - Zhirun Zhang; Xinzhi Zhang 001; Li Chen 009 (IVA, 2021)

User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms. - Ningxia Wang; Li Chen 009 (RecSys, 2021)

EXTRA: Explanation Ranking Datasets for Explainable Recommendation. - Lei Li 042; Yongfeng Zhang; Li Chen 009 (SIGIR, 2021)

Learning to Explain Recommendations. - Lei Li 042; Yongfeng Zhang; Li Chen 009 (CoRR, 2021)

CAESAR: context-aware explanation based on supervised attention for service recommendations. - Lei Li 042; Li Chen 009; Ruihai Dong (J. Intell. Inf. Syst., 2021)

Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems. - Wanling Cai; Yucheng Jin; Li Chen 009 (CHI, 2022)

A Pilot Study for Understanding Users' Attitudes Towards a Conversational Agent for News Recommendation. - Li Chen 009; Zhirun Zhang; Xinzhi Zhang 001; Lehong Zhao (CUI, 2022)

Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. - Weixin Chen; Mingkai He; Yongxin Ni; Weike Pan; Li Chen 009; Zhong Ming 001 (RecSys, 2022)

A Diary Study of Social Explanations for Recommendations in Daily Life. - Zhirun Zhang; Yucheng Jin; Li Chen 009 (UMAP (Adjunct Publication), 2022)

Multiple Neighbor Relation Enhanced Graph Collaborative Filtering. - Riwei Lai; Shitong Xiao; Rui Chen 012; Li Chen 009; Qilong Han; Li Li 035 (WI/IAT, 2022)

TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations. - Yongxin Ni; Ningxia Wang; Li Chen 009; Rui Chen 012; Lei Li 042 (WISE, 2022)

Conversational Recommendation: A Grand AI Challenge. - Dietmar Jannach; Li Chen 009 (AI Mag., 2022)

A Survey on Conversational Recommender Systems. - Dietmar Jannach; Ahtsham Manzoor; Wanling Cai; Li Chen 009 (ACM Comput. Surv., 2022)

Effects of Feature-Based Explanation and Its Output Modality on User Satisfaction With Service Recommender Systems. - Zhirun Zhang; Li Chen 009; Tonglin Jiang; Yutong Li; Lei Li 042 (Frontiers Big Data, 2022)

JIIS preface for the special issue on advances in recommender systems. - Yong Zheng 001; Li Chen 009; Markus Zanker; Panagiotis Symeonidis (J. Intell. Inf. Syst., 2022)

Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots. - Wanling Cai; Yucheng Jin; Li Chen 009 (IEEE Trans. Hum. Mach. Syst., 2022)

Personality and Recommender Systems. - Marko Tkalcic; Li Chen 009 (Recommender Systems Handbook, 2022)

"Listen to Music, Listen to Yourself": Design of a Conversational Agent to Support Self-Awareness While Listening to Music. - Wanling Cai; Yucheng Jin; Xianglin Zhao; Li Chen 009 (CHI, 2023)

Prompt Distillation for Efficient LLM-based Recommendation. - Lei Li 042; Yongfeng Zhang; Li Chen 009 (CIKM, 2023)

Tutorial on Large Language Models for Recommendation. - Wenyue Hua; Lei Li 042; Shuyuan Xu; Li Chen 009; Yongfeng Zhang (RecSys, 2023)

Augmented Negative Sampling for Collaborative Filtering. - Yuhan Zhao 001; Rui Chen 012; Riwei Lai; Qilong Han; Hongtao Song; Li Chen 009 (RecSys, 2023)

Disentangled Negative Sampling for Collaborative Filtering. - Riwei Lai; Li Chen 009; Yuhan Zhao 001; Rui Chen 012; Qilong Han (WSDM, 2023)

Comparing button-based chatbots with webpages for presenting fact-checking results: A case study of health information. - Xianglin Zhao; Li Chen 009; Yucheng Jin; Xinzhi Zhang 001 (Inf. Process. Manag., 2023)

The Influence of Personality Traits on User Interaction with Recommendation Interfaces. - Dongning Yan; Li Chen 009 (ACM Trans. Interact. Intell. Syst., 2023)

ACM Transactions on Recommender Systems: Inaugural Issue Editorial. - Li Chen 009; Dietmar Jannach (Trans. Recomm. Syst., 2023)

Eye-tracking-based personality prediction with recommendation interfaces. - Li Chen 009; Wanling Cai; Dongning Yan; Shlomo Berkovsky (User Model. User Adapt. Interact., 2023)

Understanding Disclosure and Support for Youth Mental Health in Social Music Communities. - Yucheng Jin; Wanling Cai; Li Chen 009; Yuwan Dai; Tonglin Jiang (Proc. ACM Hum. Comput. Interact., 2023)

On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance. - Lei Li 042; Yongfeng Zhang; Li Chen 009 (ACM Trans. Intell. Syst. Technol., 2023)

Personalized Prompt Learning for Explainable Recommendation. - Lei Li 042; Yongfeng Zhang; Li Chen 009 (ACM Trans. Inf. Syst., 2023)

Adaptive Hardness Negative Sampling for Collaborative Filtering. - Riwei Lai; Rui Chen 012; Qilong Han; Chi Zhang 060; Li Chen 009 (AAAI, 2024)

Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults. - Yucheng Jin; Wanling Cai; Li Chen 009; Yizhe Zhang; Gavin Doherty; Tonglin Jiang (CHI, 2024)

Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. - Lei Li 042; Yongfeng Zhang; Dugang Liu; Li Chen 009 (LREC/COLING, 2024)

EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models. - Irene Li; Ruihai Dong; Lei Li 042; Li Chen 009 (RecSys, 2024)

Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems. - Ting Yang; Li Chen 009 (RecSys, 2024)

Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data. - Yuhan Zhao 001; Rui Chen 012; Qilong Han; Hongtao Song; Li Chen 009 (RecSys, 2024)

Conversational Agents: A Framework for Evaluation (CAFE) (Dagstuhl Perspectives Workshop 24352). - Christine Bauer 001; Li Chen 009; Nicola Ferro 001; Norbert Fuhr (Dagstuhl Reports, 2024)

The way you assess matters: User interaction design of survey chatbots for mental health. - Yucheng Jin; Li Chen 009; Xianglin Zhao; Wanling Cai (Int. J. Hum. Comput. Stud., 2024)

CRS-Que: A User-centric Evaluation Framework for Conversational Recommender Systems. - Yucheng Jin; Li Chen 009; Wanling Cai; Xianglin Zhao (Trans. Recomm. Syst., 2024)

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking. - Yuhan Zhao 001; Rui Chen 012; Li Chen 009; Shuang Zhang; Qilong Han; Hongtao Song (AAAI, 2025)

DAR: Dimension-Adaptive Recommendation with Multi-Granular Noise Control. - Riwei Lai; Li Chen 009; Rui Chen 012; Chi Zhang 060 (SIGIR, 2025)

Manifesto from Dagstuhl Perspectives Workshop 24352 - Conversational Agents: A Framework for Evaluation (CAFE). - Christine Bauer 001; Li Chen 009; Nicola Ferro 001; Norbert Fuhr; Avishek Anand; Timo Breuer 002; Guglielmo Faggioli; Ophir Frieder; Hideo Joho; Jussi Karlgren; Johannes Kiesel; Bart P. Knijnenburg; et al. (CoRR, 2025)

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users. - Weixin Chen; Yuhan Zhao 001; Li Chen 009; Weike Pan (CoRR, 2025)

Denoising and Augmented Negative Sampling for Collaborative Filtering. - Yuhan Zhao 001; Rui Chen 012; Riwei Lai; Qilong Han; Hongtao Song; Li Chen 009 (Trans. Recomm. Syst., 2025)