Co-contrastive Learning for Multi-behavior Recommendation

Qingfeng Li; Huifang Ma; Ruoyi Zhang; Wangyu Jin; Zhixin Li

doi:10.1007/978-3-031-20868-3_3

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Co-contrastive Learning for Multi-behavior Recommendation

Qingfeng Li Huifang Ma Ruoyi Zhang Wangyu Jin Zhixin Li

Year: 2022 Lecture notes in computer science Pages: 32-45 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-20868-3_3

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Keywords:

Computer science Exploit Leverage (statistics) Artificial intelligence Recommender system Machine learning Graph Benchmark (surveying) Boosting (machine learning) Theoretical computer science

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Advanced Graph Neural Networks

Physical Sciences → Computer Science → Artificial Intelligence

Human Mobility and Location-Based Analysis

Social Sciences → Social Sciences → Transportation

Co-contrastive Learning for Multi-behavior Recommendation

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