Knowledge filter contrastive learning for recommendation

Author:

Xia Boshen,Qin Jiwei,Han Lu,Gao Aohua,Ma Chao

Funder

Science Fund for Outstanding Youth of Xinjiang Uygur Autonomous, China

Publisher

Springer Science and Business Media LLC

Reference37 articles.

1. Pazzani MJ, Billsus D (2007) Content-based recommendation systems. In: The adaptive web: methods and strategies of web personalization. Berlin, Heidelberg: Springer Berlin Heidelberg. pp 325–341

2. He X, Liao L, Zhang H, Nie L, Hu X, Chua T-S Neural collaborative filtering. In: Proceedings of the 26th international conference on world wide web, pp 173–182

3. Yu J, Yin H, Xia X, Chen T, Li J, Huang Z (2023) Self-supervised learning for recommender systems: a survey. In: IEEE Transactions on knowledge and data engineering

4. Zhang F, Yuan NJ, Lian D, Xie X, Ma W-Y Collaborative knowledge base embedding for recommender systems. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, pp 353–362

5. Zhang X, Chen Y, Gao C, Liao Q, Zhao S, King I (2022) Knowledge-aware neural networks with personalized feature referencing for cold-start recommendation. arXiv preprint arXiv:2209.13973

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