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个人简介
Dr. Li Chen’s current research focus is mainly on developing data-driven Web personalization systems, which integrate research in artificial intelligence, recommender systems, user modeling, and user behavior analytics for the application in various domains including social media, e-commerce, online education, and mental health.
She has authored and co-authored over 100 publications, most of which appear in high-impact journals (such as IJHCS, TOCHI, UMUAI, TIST, TIIS, KNOSYS, Behavior & Information Technology, AI Magazine, and IEEE Intelligent Systems), and key conferences in the areas of data mining (SIGKDD, SDM), artificial intelligence (IJCAI, AAAI), recommender systems (ACM RecSys), user modeling (UMAP), and intelligent user interfaces (IUI, Interact). She is now an ACM senior member, editorial board member of User Modeling and User-Adapted Interaction Journal (UMUAI), and associate editor of ACM Transactions on Interactive Intelligent Systems (TiiS). She has also been serving in a number of journals and conferences as guest editor, program co-chair, and senior PC member.
研究兴趣
论文共 226 篇作者统计合作学者相似作者
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Trans. Recomm. Syst.no. 1 (2024): 2:1-2:34
AAAI 2024no. 8 (2024): 8645-8652
CoRR (2024)
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arxiv(2024)
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ACM Transactions on Recommender Systems (2023)
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PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023 (2023): 256-266
CHI 2023pp.119:1-119:19, (2023)
Proc. ACM Hum. Comput. Interact.no. CSCW1 (2023): 1-32
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