most citedPrototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.IR2022★ 2 cited

Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations

Ningning Li, Qunwei Li, Xichen Ding +2

Deep Candidate Generation plays an important role in large-scale recommender systems. It takes user history behaviors as inputs and learns user and item latent embeddings for candi…