基本信息
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职业迁徙
个人简介
My research topic is artificial intelligence, specializing in recommender systems. I mainly focus on applying data mining and machine learning techniques (e.g., deep learning, reinforcement learning) to design effective algorithms to enhance the performance of recommender systems in various domains, such as e-commerce, social networks, location-based social networks (LBSNs), multi-media, smart learning and so forth. Specifically, I am interested in leveraging side information (e.g., item categories, knowledge graphs) to address data sparsity and cold start problems of recommender systems.
研究兴趣
论文共 142 篇作者统计合作学者相似作者
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openalex(2024)
CoRR (2024)
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CAAI Transactions on Intelligence Technology (2024)
ACM TRANSACTIONS ON INFORMATION SYSTEMSno. 1 (2024)
2024 IEEE CONFERENCE ON ARTIFICIAL INTELLIGENCE, CAI 2024pp.1530-1535, (2024)
CoRR (2024)
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ACM Conference on Recommender Systemspp.612-621, (2024)
2024 IEEE CONFERENCE ON ARTIFICIAL INTELLIGENCE, CAI 2024pp.290-291, (2024)
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作者统计
#Papers: 141
#Citation: 2464
H-Index: 23
G-Index: 48
Sociability: 5
Diversity: 3
Activity: 150
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