Li Chen

Orcid: 0000-0002-5842-838X

Affiliations:
  • Hong Kong Baptist University, Department of Computer Science, Hong Kong
  • Swiss Federal Institute of Technology, Lausanne, Switzerland (former)


According to our database1, Li Chen authored at least 138 papers between 2005 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
<i>CRS-Que</i>: A User-centric Evaluation Framework for Conversational Recommender Systems.
Trans. Recomm. Syst., March, 2024

Adaptive Hardness Negative Sampling for Collaborative Filtering.
CoRR, 2024

Adaptive Hardness Negative Sampling for Collaborative Filtering.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Personalized Prompt Learning for Explainable Recommendation.
ACM Trans. Inf. Syst., October, 2023

On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance.
ACM Trans. Intell. Syst. Technol., April, 2023

Understanding Disclosure and Support for Youth Mental Health in Social Music Communities.
Proc. ACM Hum. Comput. Interact., April, 2023

Eye-tracking-based personality prediction with recommendation interfaces.
User Model. User Adapt. Interact., March, 2023

ACM Transactions on Recommender Systems: Inaugural Issue Editorial.
Trans. Recomm. Syst., March, 2023

The Influence of Personality Traits on User Interaction with Recommendation Interfaces.
ACM Trans. Interact. Intell. Syst., March, 2023

Comparing button-based chatbots with webpages for presenting fact-checking results: A case study of health information.
Inf. Process. Manag., 2023

Large Language Models for Generative Recommendation: A Survey and Visionary Discussions.
CoRR, 2023

Disentangled Negative Sampling for Collaborative Filtering.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Augmented Negative Sampling for Collaborative Filtering.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Tutorial on Large Language Models for Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Prompt Distillation for Efficient LLM-based Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

"Listen to Music, Listen to Yourself": Design of a Conversational Agent to Support Self-Awareness While Listening to Music.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2022
Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots.
IEEE Trans. Hum. Mach. Syst., 2022

JIIS preface for the special issue on advances in recommender systems.
J. Intell. Inf. Syst., 2022

Effects of Feature-Based Explanation and Its Output Modality on User Satisfaction With Service Recommender Systems.
Frontiers Big Data, 2022

A Survey on Conversational Recommender Systems.
ACM Comput. Surv., 2022

Conversational Recommendation: A Grand AI Challenge.
AI Mag., 2022

TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations.
Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Multiple Neighbor Relation Enhanced Graph Collaborative Filtering.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

A Diary Study of Social Explanations for Recommendations in Daily Life.
Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022

Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

A Pilot Study for Understanding Users' Attitudes Towards a Conversational Agent for News Recommendation.
Proceedings of the CUI 2022: 4th Conference on Conversational User Interfaces, Glasgow, United Kingdom, July 26, 2022

Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021
CAESAR: context-aware explanation based on supervised attention for service recommendations.
J. Intell. Inf. Syst., 2021

Learning to Explain Recommendations.
CoRR, 2021

EXTRA: Explanation Ranking Datasets for Explainable Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Informing the Design of a News Chatbot.
Proceedings of the IVA '21: ACM International Conference on Intelligent Virtual Agents, 2021

Critiquing for Music Exploration in Conversational Recommender Systems.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Key Qualities of Conversational Recommender Systems: From Users' Perspective.
Proceedings of the HAI '21: International Conference on Human-Agent Interaction, Virtual Event, Japan, November 9, 2021

BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2021 International Workshops, 2021

Personalized Transformer for Explainable Recommendation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Towards Controllable Explanation Generation for Recommender Systems via Neural Template.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

UMAP 2020 Demo and Late-Breaking Results Chairs' Preface.
Proceedings of the Adjunct Publication of the 28th ACM Conference on User Modeling, 2020

Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Generate Neural Template Explanations for Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
User Evaluations on Sentiment-based Recommendation Explanations.
ACM Trans. Interact. Intell. Syst., 2019

Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets.
Knowl. Inf. Syst., 2019

Neighborhood-enhanced transfer learning for one-class collaborative filtering.
Neurocomputing, 2019

User perception of sentiment-integrated critiquing in recommender systems.
Int. J. Hum. Comput. Stud., 2019

Inferring Students' Personality from Their Communication Behavior in Web-based Learning Systems.
Int. J. Artif. Intell. Educ., 2019

How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation.
Proceedings of the World Wide Web Conference, 2019

Towards a Taxonomy of User Feedback Intents for Conversational Recommendations.
Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

Context-Aware Co-attention Neural Network for Service Recommendations.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Personalizing recommendation diversity based on user personality.
User Model. User Adapt. Interact., 2018

ACM UMAP 2018 - User Modeling, Adaptation and Personalization: 8-11 July, 2018 at NTU, Singapore.
SIGWEB Newsl., 2018

Incorporating user experience into critiquing-based recommender systems: a collaborative approach based on compound critiquing.
Int. J. Mach. Learn. Cybern., 2018

A heterogeneous hidden Markov model for mobile app recommendation.
Knowl. Inf. Syst., 2018

RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood.
Proceedings of the Web Services - ICWS 2018, 2018

2017
Personality and Recommendation Diversity.
Proceedings of the Emotions and Personality in Personalized Services, 2017

Investigating users' eye movement behavior in critiquing-based recommender systems.
AI Commun., 2017

Inferring Students' Sense of Community from Their Communication Behavior in Online Courses.
Proceedings of the 25th Conference on User Modeling, Adaptation and Personalization, 2017

Explaining Recommendations Based on Feature Sentiments in Product Reviews.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Review-Based Screening Interface for Improving Users' Decision Process in E-commerce.
Proceedings of the HCI in Business, Government and Organizations. Supporting Business, 2017

2016
Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy.
Inf. Process. Manag., 2016

Personalized search for social media via dominating verbal context.
Neurocomputing, 2016

Group Bayesian personalized ranking with rich interactions for one-class collaborative filtering.
Neurocomputing, 2016

Students' Personality and Chat Room Behavior in Synchronous Online Learning.
Proceedings of the Late-breaking Results, 2016

An Eye-Tracking Study: Implication to Implicit Critiquing Feedback Elicitation in Recommender Systems.
Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization, 2016

Inferring Users' Critiquing Feedback on Recommendations from Eye Movements.
Proceedings of the Case-Based Reasoning Research and Development, 2016

A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Personality and Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

Human Decision Making and Recommender Systems.
Proceedings of the Recommender Systems Handbook, 2015

Review mining for estimating users' ratings and weights for product aspects.
Web Intell., 2015

Recommender systems based on user reviews: the state of the art.
User Model. User Adapt. Interact., 2015

Augmenting service recommender systems by incorporating contextual opinions from user reviews.
User Model. User Adapt. Interact., 2015

Emotional States Associated with Music: Classification, Prediction of Changes, and Consideration in Recommendation.
ACM Trans. Interact. Intell. Syst., 2015

Implicit Acquisition of User Personality for Augmenting Movie Recommendations.
Proceedings of the User Modeling, Adaptation and Personalization, 2015

Personality in Recommender Systems.
Proceedings of the 3rd Workshop on Emotions and Personality in Personalized Systems, 2015

An Empirical Study of User Decision Making Behavior in E-Commerce.
Proceedings of the HCI in Business - Second International Conference, 2015

2014
News impact on stock price return via sentiment analysis.
Knowl. Based Syst., 2014

Experiment on sentiment embedded comparison interface.
Knowl. Based Syst., 2014

An Adaptive Fusion Algorithm for Spam Detection.
IEEE Intell. Syst., 2014

Experiments on user experiences with recommender interfaces.
Behav. Inf. Technol., 2014

Sentiment-enhanced explanation of product recommendations.
Proceedings of the 23rd International World Wide Web Conference, 2014

Collaborative Compound Critiquing.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Recommendation Based on Contextual Opinions.
Proceedings of the User Modeling, Adaptation, and Personalization, 2014

Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

2013
Generating virtual ratings from chinese reviews to augment online recommendations.
ACM Trans. Intell. Syst. Technol., 2013

Introduction to the special section on social recommender systems.
ACM Trans. Intell. Syst. Technol., 2013

Human Decision Making and Recommender Systems.
ACM Trans. Interact. Intell. Syst., 2013

Preference-based clustering reviews for augmenting e-commerce recommendation.
Knowl. Based Syst., 2013

A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion.
Expert Syst. Appl., 2013

Recommendation for New Users with Partial Preferences by Integrating Product Reviews with Static Specifications.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013

CoFiSet: Collaborative Filtering via Learning Pairwise Preferences over Item-sets.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Heterogeneous data fusion via matrix factorization for augmenting item, group and friend recommendations.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Workshop on human decision making in recommender systems: decisions@RecSys'13.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

GBPR: Group Preference Based Bayesian Personalized Ranking for One-Class Collaborative Filtering.
Proceedings of the IJCAI 2013, 2013

Recommending Interest Groups to Social Media Users by Incorporating Heterogeneous Resources.
Proceedings of the Recent Trends in Applied Artificial Intelligence, 2013

Using personality to adjust diversity in recommender systems.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

How personality influences users' needs for recommendation diversity?
Proceedings of the 2013 ACM SIGCHI Conference on Human Factors in Computing Systems, 2013

2012
Augmenting Collaborative Recommenders by Fusing Social Relationships: Membership and Friendship.
Proceedings of the Recommender Systems for the Social Web, 2012

Evaluating recommender systems from the user's perspective: survey of the state of the art.
User Model. User Adapt. Interact., 2012

Critiquing-based recommenders: survey and emerging trends.
User Model. User Adapt. Interact., 2012

Comparison of feature-level learning methods for mining online consumer reviews.
Expert Syst. Appl., 2012

Recommending Inexperienced Products via Learning from Consumer Reviews.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

2011
Usability Guidelines for Product Recommenders Based on Example Critiquing Research.
Proceedings of the Recommender Systems Handbook, 2011

Introduction.
ACM Trans. Intell. Syst. Technol., 2011

Social opinion mining for supporting buyers' complex decision making: exploratory user study and algorithm comparison.
Soc. Netw. Anal. Min., 2011

Comparison of Model-Based Learning Methods for Feature-Level Opinion Mining.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

From Privacy Concern to Uses of Social Network Sites: A Cultural Comparison via User Survey.
Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

A user-centric evaluation framework for recommender systems.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

RecSys'11 workshop on human decision making in recommender systems.
Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Users' eye gaze pattern in organization-based recommender interfaces.
Proceedings of the 16th International Conference on Intelligent User Interfaces, 2011

Privacy Concern and Trust in Using Social Network Sites: A Comparison between French and Chinese Users.
Proceedings of the Human-Computer Interaction - INTERACT 2011, 2011

2010
Experiments on the preference-based organization interface in recommender systems.
ACM Trans. Comput. Hum. Interact., 2010

A Linear-Chain CRF-Based Learning Approach for Web Opinion Mining.
Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

Towards Three-Stage Recommender Support for Online Consumers: Implications from a User Study.
Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

Eye-Tracking Study of User Behavior in Recommender Interfaces.
Proceedings of the User Modeling, 2010

Temporal recommendation on graphs via long- and short-term preference fusion.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Workshop on social recommender systems.
Proceedings of the 15th International Conference on Intelligent User Interfaces, 2010

Social influence of product popularity on consumer decisions: usability study of Flickr camera finder.
Proceedings of the 15th International Conference on Intelligent User Interfaces, 2010

A diary study of understanding contextual information needs during leisure traveling.
Proceedings of the Information Interaction in Context Symposium, 2010

Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification.
Proceedings of the ICDMW 2010, 2010

Understanding buyers' social information needs during purchase decision process.
Proceedings of the 12th International Conference on Electronic Commerce, 2010

2009
Interaction design guidelines on critiquing-based recommender systems.
User Model. User Adapt. Interact., 2009

How Users Perceive and Appraise Personalized Recommendations.
Proceedings of the User Modeling, 2009

Adaptive tradeoff explanations in conversational recommenders.
Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Adapting Recommendations Organization to User Preferences.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2009

2008
User decision improvement and trust building in product recommender systems.
PhD thesis, 2008

Evaluating product search and recommender systems for E-commerce environments.
Electron. Commer. Res., 2008

User-Involved Preference Elicitation for Product Search and Recommender Systems.
AI Mag., 2008

A cross-cultural user evaluation of product recommender interfaces.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

2007
Trust-inspiring explanation interfaces for recommender systems.
Knowl. Based Syst., 2007

Preference-Based Organization Interfaces: Aiding User Critiques in Recommender Systems.
Proceedings of the User Modeling 2007, 11th International Conference, 2007

The evaluation of a hybrid critiquing system with preference-based recommendations organization.
Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

Hybrid critiquing-based recommender systems.
Proceedings of the 12th International Conference on Intelligent User Interfaces, 2007

2006
Trust building with explanation interfaces.
Proceedings of the 11th International Conference on Intelligent User Interfaces, 2006

Evaluating Critiquing-based Recommender Agents.
Proceedings of the Proceedings, 2006

2005
Integrating tradeoff support in product search tools for e-commerce sites.
Proceedings of the Proceedings 6th ACM Conference on Electronic Commerce (EC-2005), 2005


  Loading...