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Li Chen 0009
Person information
- affiliation: Hong Kong Baptist University, Department of Computer Science, Hong Kong
- affiliation (former): Swiss Federal Institute of Technology, Lausanne, Switzerland
Other persons with the same name
- Li Chen — disambiguation page
- Li Chen 0001 — University of Saskatchewan, Saskatoon, Canada
- Li Chen 0002 — University of the District of Columbia, Washington, USA (and 1 more)
- Li Chen 0003 — Shantou University, Guangdong, China (and 1 more)
- Li Chen 0004 — Microsoft Corporation, Red Hills, Washington, USA (and 1 more)
- Li Chen 0005 — Anhui Normal University, Wuhu, China
- Li Chen 0006 — University of Mannheim, Germany
- Li Chen 0007 — Xiamen University, China
- Li Chen 0008 — Zhongguancun Laboratory, Beijing, China (and 1 more)
- Li Chen 0010 — Hong Kong University of Science and Technology, Department of Mechanical and Aerospace Engineering, Hong Kong
- Li Chen 0011 — Wuhan University of Science and Technology, School of Computer Science and Technology, China (and 1 more)
- Li Chen 0012 — PLA University of Science & Technology, Institute of Command Automation, Nanjing, China
- Li Chen 0013 — Sun Yat-sen University, Guangzhou, China (and 1 more)
- Li Chen 0014 — Wenzhou Medical University, Department of Psychology, School of Environmental Science and Public Health, China
- Li Chen 0015 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China
- Li Chen 0016 — Worcester Polytechnic Institute, Department of Computer Science, MA, USA
- Li Chen 0017 — Fujitsu R&D Center, Beijing, China
- Li Chen 0018 — Johns Hopkins University School of Medicine, Department of Pathology, Baltimore, MD, USA (and 2 more)
- Li Chen 0019 — University of Louisiana at Lafayette, School of Computing and Informatics, Department of Computer Science, Lafayette, LA, USA (and 1 more)
- Li Chen 0020 — University of Washington, Department of Electronic Engineering, Seattle, WA, USA (and 1 more)
- Li Chen 0021 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Network Engineering, China
- Li Chen 0022 — Rutgers University, Department of Chemistry and Chemical Biology, Piscataway, NJ, USA
- Chen Li 0015 (aka: Li Chen 0023) — National University of Defense Technology, Changsha, China
- Li Chen 0024 — Beijing University of Posts and Telecommunications, Wireless Theories and Technologies, China
- Li Chen 0025 — Central South University, School of Geosciences and Info-Physics, Changsha, China
- Li Chen 0026 — Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China
- Li Chen 0027 — University of California, San Diego, CA, USA
- Li Chen 0028 — Carnegie Mellon University, PA, USA (and 1 more)
- Li Chen 0029 — University of Florida, Department of Biostatistics, Gainesville, FL, USA (and 3 more)
- Li Chen 0030 — Cornell University, SC Johnson College of Business, Samuel Curtis Johnson Graduate School of Management, Ithaca, NY, USA
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2020 – today
- 2024
- [j51]Yucheng Jin, Li Chen, Xianglin Zhao, Wanling Cai:
The way you assess matters: User interaction design of survey chatbots for mental health. Int. J. Hum. Comput. Stud. 189: 103290 (2024) - [j50]Yucheng Jin, Li Chen, Wanling Cai, Xianglin Zhao:
CRS-Que: A User-centric Evaluation Framework for Conversational Recommender Systems. Trans. Recomm. Syst. 2(1): 2:1-2:34 (2024) - [c84]Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen:
Adaptive Hardness Negative Sampling for Collaborative Filtering. AAAI 2024: 8645-8652 - [c83]Yucheng Jin, Wanling Cai, Li Chen, Yizhe Zhang, Gavin Doherty, Tonglin Jiang:
Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults. CHI 2024: 1012:1-1012:17 - [c82]Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen:
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. LREC/COLING 2024: 10146-10159 - [c81]Ting Yang, Li Chen:
Unleashing the Retrieval Potential of Large Language Models in Conversational Recommender Systems. RecSys 2024: 43-52 - [c80]Yuhan Zhao, Rui Chen, Qilong Han, Hongtao Song, Li Chen:
Unlocking the Hidden Treasures: Enhancing Recommendations with Unlabeled Data. RecSys 2024: 247-256 - [c79]Irene Li, Ruihai Dong, Lei Li, Li Chen:
EARL: Workshop on Evaluating and Applying Recommendation Systems with Large Language Models. RecSys 2024: 1262-1264 - [i12]Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen:
Adaptive Hardness Negative Sampling for Collaborative Filtering. CoRR abs/2401.05191 (2024) - [i11]Yucheng Jin, Wanling Cai, Li Chen, Yizhe Zhang, Gavin Doherty, Tonglin Jiang:
Exploring the Design of Generative AI in Supporting Music-based Reminiscence for Older Adults. CoRR abs/2403.01413 (2024) - 2023
- [j49]Xianglin Zhao, Li Chen, Yucheng Jin, Xinzhi Zhang:
Comparing button-based chatbots with webpages for presenting fact-checking results: A case study of health information. Inf. Process. Manag. 60(2): 103203 (2023) - [j48]Yucheng Jin, Wanling Cai, Li Chen, Yuwan Dai, Tonglin Jiang:
Understanding Disclosure and Support for Youth Mental Health in Social Music Communities. Proc. ACM Hum. Comput. Interact. 7(CSCW1): 1-32 (2023) - [j47]Dongning Yan, Li Chen:
The Influence of Personality Traits on User Interaction with Recommendation Interfaces. ACM Trans. Interact. Intell. Syst. 13(1): 3:1-3:39 (2023) - [j46]Lei Li, Yongfeng Zhang, Li Chen:
On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance. ACM Trans. Intell. Syst. Technol. 14(2): 21:1-21:24 (2023) - [j45]Lei Li, Yongfeng Zhang, Li Chen:
Personalized Prompt Learning for Explainable Recommendation. ACM Trans. Inf. Syst. 41(4): 103:1-103:26 (2023) - [j44]Li Chen, Dietmar Jannach:
ACM Transactions on Recommender Systems: Inaugural Issue Editorial. Trans. Recomm. Syst. 1(1): 1 (2023) - [j43]Li Chen, Wanling Cai, Dongning Yan, Shlomo Berkovsky:
Eye-tracking-based personality prediction with recommendation interfaces. User Model. User Adapt. Interact. 33(1): 121-157 (2023) - [c78]Wanling Cai, Yucheng Jin, Xianglin Zhao, Li Chen:
"Listen to Music, Listen to Yourself": Design of a Conversational Agent to Support Self-Awareness While Listening to Music. CHI 2023: 119:1-119:19 - [c77]Lei Li, Yongfeng Zhang, Li Chen:
Prompt Distillation for Efficient LLM-based Recommendation. CIKM 2023: 1348-1357 - [c76]Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen:
Augmented Negative Sampling for Collaborative Filtering. RecSys 2023: 256-266 - [c75]Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang:
Tutorial on Large Language Models for Recommendation. RecSys 2023: 1281-1283 - [c74]Riwei Lai, Li Chen, Yuhan Zhao, Rui Chen, Qilong Han:
Disentangled Negative Sampling for Collaborative Filtering. WSDM 2023: 96-104 - [e6]Jie Zhang, Li Chen, Shlomo Berkovsky, Min Zhang, Tommaso Di Noia, Justin Basilico, Luiz Pizzato, Yang Song:
Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023. ACM 2023 [contents] - [i10]Yuhan Zhao, Rui Chen, Riwei Lai, Qilong Han, Hongtao Song, Li Chen:
Augmented Negative Sampling for Collaborative Filtering. CoRR abs/2308.05972 (2023) - [i9]Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen:
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. CoRR abs/2309.01157 (2023) - 2022
- [j42]Dietmar Jannach, Li Chen:
Conversational Recommendation: A Grand AI Challenge. AI Mag. 43(2): 151-163 (2022) - [j41]Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen:
A Survey on Conversational Recommender Systems. ACM Comput. Surv. 54(5): 105:1-105:36 (2022) - [j40]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 Big Data 5: 897381 (2022) - [j39]Yong Zheng, Li Chen, Markus Zanker, Panagiotis Symeonidis:
JIIS preface for the special issue on advances in recommender systems. J. Intell. Inf. Syst. 58(2): 223-225 (2022) - [j38]Wanling Cai, Yucheng Jin, Li Chen:
Task-Oriented User Evaluation on Critiquing-Based Recommendation Chatbots. IEEE Trans. Hum. Mach. Syst. 52(3): 354-366 (2022) - [c73]Wanling Cai, Yucheng Jin, Li Chen:
Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems. CHI 2022: 489:1-489:14 - [c72]Li Chen, Zhirun Zhang, Xinzhi Zhang, Lehong Zhao:
A Pilot Study for Understanding Users' Attitudes Towards a Conversational Agent for News Recommendation. CUI 2022: 36:1-36:6 - [c71]Weixin Chen, Mingkai He, Yongxin Ni, Weike Pan, Li Chen, Zhong Ming:
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions. RecSys 2022: 268-277 - [c70]Zhirun Zhang, Yucheng Jin, Li Chen:
A Diary Study of Social Explanations for Recommendations in Daily Life. UMAP (Adjunct Publication) 2022: 200-208 - [c69]Riwei Lai, Shitong Xiao, Rui Chen, Li Chen, Qilong Han, Li Li:
Multiple Neighbor Relation Enhanced Graph Collaborative Filtering. WI/IAT 2022: 40-47 - [c68]Yongxin Ni, Ningxia Wang, Li Chen, Rui Chen, Lei Li:
TUR: Utilizing Temporal Information to Make Unexpected E-Commerce Recommendations. WISE 2022: 553-563 - [r3]Marko Tkalcic, Li Chen:
Personality and Recommender Systems. Recommender Systems Handbook 2022: 757-787 - [i8]Lei Li, Yongfeng Zhang, Li Chen:
Personalized Prompt Learning for Explainable Recommendation. CoRR abs/2202.07371 (2022) - [i7]Dietmar Jannach, Li Chen:
Conversational Recommendation: A Grand AI Challenge. CoRR abs/2203.09126 (2022) - [i6]Wanling Cai, Yucheng Jin, Li Chen:
Impacts of Personal Characteristics on User Trust in Conversational Recommender Systems. CoRR abs/2203.12981 (2022) - 2021
- [j37]Lei Li, Li Chen, Ruihai Dong:
CAESAR: context-aware explanation based on supervised attention for service recommendations. J. Intell. Inf. Syst. 57(1): 147-170 (2021) - [c67]Lei Li, Yongfeng Zhang, Li Chen:
Personalized Transformer for Explainable Recommendation. ACL/IJCNLP (1) 2021: 4947-4957 - [c66]Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu:
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. DASFAA (Workshops) 2021: 381-397 - [c65]Yucheng Jin, Li Chen, Wanling Cai, Pearl Pu:
Key Qualities of Conversational Recommender Systems: From Users' Perspective. HAI 2021: 93-102 - [c64]Wanling Cai, Yucheng Jin, Li Chen:
Critiquing for Music Exploration in Conversational Recommender Systems. IUI 2021: 480-490 - [c63]Zhirun Zhang, Xinzhi Zhang, Li Chen:
Informing the Design of a News Chatbot. IVA 2021: 224-231 - [c62]Ningxia Wang, Li Chen:
User Bias in Beyond-Accuracy Measurement of Recommendation Algorithms. RecSys 2021: 133-142 - [c61]Lei Li, Yongfeng Zhang, Li Chen:
EXTRA: Explanation Ranking Datasets for Explainable Recommendation. SIGIR 2021: 2463-2469 - [i5]Zhe Peng, Jinbin Huang, Haixin Wang, Shihao Wang, Xiaowen Chu, Xinzhi Zhang, Li Chen, Xin Huang, Xiaoyi Fu, Yike Guo, Jianliang Xu:
BU-Trace: A Permissionless Mobile System for Privacy-Preserving Intelligent Contact Tracing. CoRR abs/2101.09653 (2021) - [i4]Lei Li, Yongfeng Zhang, Li Chen:
Learning to Explain Recommendations. CoRR abs/2102.00627 (2021) - [i3]Lei Li, Yongfeng Zhang, Li Chen:
EXTRA: Explanation Ranking Datasets for Explainable Recommendation. CoRR abs/2102.10315 (2021) - [i2]Lei Li, Yongfeng Zhang, Li Chen:
Personalized Transformer for Explainable Recommendation. CoRR abs/2105.11601 (2021) - 2020
- [c60]Lei Li, Yongfeng Zhang, Li Chen:
Generate Neural Template Explanations for Recommendation. CIKM 2020: 755-764 - [c59]Li Chen, Bart P. Knijnenburg, Frosina Koceva:
UMAP 2020 Demo and Late-Breaking Results Chairs' Preface. UMAP (Adjunct Publication) 2020: 1 - [c58]Wanling Cai, Li Chen:
Predicting User Intents and Satisfaction with Dialogue-based Conversational Recommendations. UMAP 2020: 33-42 - [c57]Ningxia Wang, Li Chen, Yonghua Yang:
The Impacts of Item Features and User Characteristics on Users' Perceived Serendipity of Recommendations. UMAP 2020: 266-274 - [c56]Lei Li, Li Chen, Yongfeng Zhang:
Towards Controllable Explanation Generation for Recommender Systems via Neural Template. WWW (Companion Volume) 2020: 198-202 - [e5]Rodrygo L. T. Santos, Leandro Balby Marinho, Elizabeth M. Daly, Li Chen, Kim Falk, Noam Koenigstein, Edleno Silva de Moura:
RecSys 2020: Fourteenth ACM Conference on Recommender Systems, Virtual Event, Brazil, September 22-26, 2020. ACM 2020, ISBN 978-1-4503-7583-2 [contents] - [i1]Dietmar Jannach, Ahtsham Manzoor, Wanling Cai, Li Chen:
A Survey on Conversational Recommender Systems. CoRR abs/2004.00646 (2020)
2010 – 2019
- 2019
- [j36]Wen Wu, Li Chen, Qingchang Yang, You Li:
Inferring Students' Personality from Their Communication Behavior in Web-based Learning Systems. Int. J. Artif. Intell. Educ. 29(2): 189-216 (2019) - [j35]Li Chen, Dongning Yan, Feng Wang:
User perception of sentiment-integrated critiquing in recommender systems. Int. J. Hum. Comput. Stud. 121: 4-20 (2019) - [j34]Wanling Cai, Jiongbin Zheng, Weike Pan, Jing Lin, Lin Li, Li Chen, Xiaogang Peng, Zhong Ming:
Neighborhood-enhanced transfer learning for one-class collaborative filtering. Neurocomputing 341: 80-87 (2019) - [j33]Weike Pan, Li Chen, Zhong Ming:
Personalized recommendation with implicit feedback via learning pairwise preferences over item-sets. Knowl. Inf. Syst. 58(2): 295-318 (2019) - [j32]Li Chen, Dongning Yan, Feng Wang:
User Evaluations on Sentiment-based Recommendation Explanations. ACM Trans. Interact. Intell. Syst. 9(4): 20:1-20:38 (2019) - [c55]Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, Katrien Verbert:
MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction. CIKM 2019: 951-960 - [c54]Lei Li, Ruihai Dong, Li Chen:
Context-Aware Co-attention Neural Network for Service Recommendations. ICDE Workshops 2019: 201-208 - [c53]Wanling Cai, Li Chen:
Towards a Taxonomy of User Feedback Intents for Conversational Recommendations. RecSys (Late-Breaking Results) 2019: 51-55 - [c52]Li Chen, Yonghua Yang, Ningxia Wang, Keping Yang, Quan Yuan:
How Serendipity Improves User Satisfaction with Recommendations? A Large-Scale User Evaluation. WWW 2019: 240-250 - 2018
- [j31]Victor C. Cheng, Li Chen, William K. Cheung, Chi-kuen Fok:
A heterogeneous hidden Markov model for mobile app recommendation. Knowl. Inf. Syst. 57(1): 207-228 (2018) - [j30]Haoran Xie, Debby Dan Wang, Yanghui Rao, Tak-Lam Wong, Raymond Y. K. Lau, Li Chen, Fu Lee Wang:
Incorporating user experience into critiquing-based recommender systems: a collaborative approach based on compound critiquing. Int. J. Mach. Learn. Cybern. 9(5): 837-852 (2018) - [j29]Jie Zhang, Tanja Mitrovic, David Chin, Li Chen:
ACM UMAP 2018 - User Modeling, Adaptation and Personalization: 8-11 July, 2018 at NTU, Singapore. SIGWEB Newsl. 2018(Winter): 2:1-2:5 (2018) - [j28]Wen Wu, Li Chen, Yu Zhao:
Personalizing recommendation diversity based on user personality. User Model. User Adapt. Interact. 28(3): 237-276 (2018) - [c51]Lei Li, Weike Pan, Li Chen, Zhong Ming:
RLT: Residual-Loop Training in Collaborative Filtering for Combining Factorization and Global-Local Neighborhood. ICWS 2018: 326-336 - [e4]Tanja Mitrovic, Jie Zhang, Li Chen, David Chin:
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, July 08-11, 2018. ACM 2018 [contents] - [e3]Tanja Mitrovic, Jie Zhang, Li Chen, David Chin:
Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization, UMAP 2018, Singapore, July 08-11, 2018. ACM 2018 [contents] - 2017
- [j27]Li Chen, Feng Wang, Pearl Pu:
Investigating users' eye movement behavior in critiquing-based recommender systems. AI Commun. 30(3-4): 207-222 (2017) - [c50]Dongning Yan, Li Chen:
Review-Based Screening Interface for Improving Users' Decision Process in E-commerce. HCI (24) 2017: 130-142 - [c49]Li Chen, Feng Wang:
Explaining Recommendations Based on Feature Sentiments in Product Reviews. IUI 2017: 17-28 - [c48]Wen Wu, Li Chen, Qingchang Yang:
Inferring Students' Sense of Community from Their Communication Behavior in Online Courses. UMAP 2017: 238-246 - [p3]Li Chen, Wen Wu, Liang He:
Personality and Recommendation Diversity. Emotions and Personality in Personalized Services 2017: 201-225 - 2016
- [j26]Haoran Xie, Xiaodong Li, Tao Wang, Li Chen, Ke Li, Fu Lee Wang, Yi Cai, Qing Li, Huaqing Min:
Personalized search for social media via dominating verbal context. Neurocomputing 172: 27-37 (2016) - [j25]Weike Pan, Li Chen:
Group Bayesian personalized ranking with rich interactions for one-class collaborative filtering. Neurocomputing 207: 501-510 (2016) - [j24]Haoran Xie, Xiaodong Li, Tao Wang, Raymond Y. K. Lau, Tak-Lam Wong, Li Chen, Fu Lee Wang, Qing Li:
Incorporating sentiment into tag-based user profiles and resource profiles for personalized search in folksonomy. Inf. Process. Manag. 52(1): 61-72 (2016) - [c47]Feng Wang, Li Chen, Weike Pan:
Where to Place Your Next Restaurant?: Optimal Restaurant Placement via Leveraging User-Generated Reviews. CIKM 2016: 2371-2376 - [c46]Feng Wang, Li Chen:
A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses. EDM 2016: 527-532 - [c45]Li Chen, Feng Wang, Wen Wu:
Inferring Users' Critiquing Feedback on Recommendations from Eye Movements. ICCBR 2016: 62-76 - [c44]Li Chen, Feng Wang:
An Eye-Tracking Study: Implication to Implicit Critiquing Feedback Elicitation in Recommender Systems. UMAP 2016: 163-167 - [c43]Wen Wu, Li Chen, Qingchang Yang:
Students' Personality and Chat Room Behavior in Synchronous Online Learning. UMAP (Extended Proceedings) 2016 - 2015
- [j23]James J. Deng, Clement H. C. Leung, Alfredo Milani, Li Chen:
Emotional States Associated with Music: Classification, Prediction of Changes, and Consideration in Recommendation. ACM Trans. Interact. Intell. Syst. 5(1): 4:1-4:36 (2015) - [j22]Li Chen, Guanliang Chen, Feng Wang:
Recommender systems based on user reviews: the state of the art. User Model. User Adapt. Interact. 25(2): 99-154 (2015) - [j21]Guanliang Chen, Li Chen:
Augmenting service recommender systems by incorporating contextual opinions from user reviews. User Model. User Adapt. Interact. 25(3): 295-329 (2015) - [j20]Feng Wang, Li Chen:
Review mining for estimating users' ratings and weights for product aspects. Web Intell. 13(3): 137-152 (2015) - [c42]Dongning Yan, Li Chen:
An Empirical Study of User Decision Making Behavior in E-Commerce. HCI (23) 2015: 414-426 - [c41]Li Chen:
Personality in Recommender Systems. EMPIRE@RecSys 2015: 2 - [c40]Wen Wu, Li Chen:
Implicit Acquisition of User Personality for Augmenting Movie Recommendations. UMAP 2015: 302-314 - [r2]Anthony Jameson, Martijn C. Willemsen, Alexander Felfernig, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Li Chen:
Human Decision Making and Recommender Systems. Recommender Systems Handbook 2015: 611-648 - [r1]Marko Tkalcic, Li Chen:
Personality and Recommender Systems. Recommender Systems Handbook 2015: 715-739 - 2014
- [j19]Li Chen, Pearl Pu:
Experiments on user experiences with recommender interfaces. Behav. Inf. Technol. 33(4): 372-394 (2014) - [j18]Congfu Xu, Baojun Su, Yunbiao Cheng, Weike Pan, Li Chen:
An Adaptive Fusion Algorithm for Spam Detection. IEEE Intell. Syst. 29(4): 2-8 (2014) - [j17]Li Chen, Feng Wang, Luole Qi, Fengfeng Liang:
Experiment on sentiment embedded comparison interface. Knowl. Based Syst. 64: 44-58 (2014) - [j16]Xiaodong Li, Haoran Xie, Li Chen, Jianping Wang, Xiaotie Deng:
News impact on stock price return via sentiment analysis. Knowl. Based Syst. 69: 14-23 (2014) - [c39]Li Chen, William K. Cheung:
Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment. ICDM Workshops 2014: 541-548 - [c38]Guanliang Chen, Li Chen:
Recommendation Based on Contextual Opinions. UMAP 2014: 61-73 - [c37]Haoran Xie, Li Chen, Feng Wang:
Collaborative Compound Critiquing. UMAP 2014: 254-265 - [c36]Li Chen, Feng Wang:
Sentiment-enhanced explanation of product recommendations. WWW (Companion Volume) 2014: 239-240 - 2013
- [j15]Li Chen, Wei Zeng, Quan Yuan:
A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion. Expert Syst. Appl. 40(8): 2889-2903 (2013) - [j14]Li Chen, Feng Wang:
Preference-based clustering reviews for augmenting e-commerce recommendation. Knowl. Based Syst. 50: 44-59 (2013) - [j13]Li Chen, Marco de Gemmis, Alexander Felfernig, Pasquale Lops, Francesco Ricci, Giovanni Semeraro:
Human Decision Making and Recommender Systems. ACM Trans. Interact. Intell. Syst. 3(3): 17:1-17:7 (2013) - [j12]Ido Guy, Li Chen, Michelle X. Zhou:
Introduction to the special section on social recommender systems. ACM Trans. Intell. Syst. Technol. 4(1): 7:1-7:2 (2013) - [j11]Weishi Zhang, Guiguang Ding, Li Chen, Chunping Li, Chengbo Zhang:
Generating virtual ratings from chinese reviews to augment online recommendations. ACM Trans. Intell. Syst. Technol. 4(1): 9:1-9:17 (2013) - [c35]Li Chen, Wen Wu, Liang He:
How personality influences users' needs for recommendation diversity? CHI Extended Abstracts 2013: 829-834 - [c34]Wen Wu, Li Chen, Liang He:
Using personality to adjust diversity in recommender systems. HT 2013: 225-229 - [c33]