May 2, 2024, 4:43 a.m. | Kartik Sharma, Yeon-Chang Lee, Sivagami Nambi, Aditya Salian, Shlok Shah, Sang-Wook Kim, Srijan Kumar

cs.LG updates on arXiv.org arxiv.org

arXiv:2212.04481v3 Announce Type: replace-cross
Abstract: Social recommender systems (SocialRS) simultaneously leverage the user-to-item interactions as well as the user-to-user social relations for the task of generating item recommendations to users. Additionally exploiting social relations is clearly effective in understanding users' tastes due to the effects of homophily and social influence. For this reason, SocialRS has increasingly attracted attention. In particular, with the advance of graph neural networks (GNN), many GNN-based SocialRS methods have been developed recently. Therefore, we conduct a …

arxiv cs.ir cs.lg cs.si graph graph neural networks networks neural networks recommender systems social survey systems type

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