SSLRec: A Self-Supervised Learning Framework for Recommendation
Author:
Affiliation:
1. University of Hong Kong, Hong Kong, Hong Kong
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3616855.3635814
Reference59 articles.
1. Xiangnan He Xiang Wang Bin Wu, Zhongchuan Sun and Jonathan Staniforth. 2017. NeuRec. https://github.com/wubinzzu/NeuRec.
2. Xuheng Cai Chao Huang Lianghao Xia and Xubin Ren. 2023. LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. In ICLR.
3. Bias and debias in recommender system: A survey and future directions;Chen Jiawei;ACM Transactions on Information Systems (TOIS),2023
4. Mengru Chen Chao Huang Lianghao Xia Wei Wei Yong Xu and Ronghua Luo. 2023. Heterogeneous graph contrastive learning for recommendation. In WSDM. 544--552.
5. Yongjun Chen Zhiwei Liu Jia Li Julian McAuley and Caiming Xiong. 2022. Intent contrastive learning for sequential recommendation. In WWW. 2172--2182.
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