most citedImproving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder

54 citations · 54 across the 1 of their papers we have counts for

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1 paper

cs.IR2022★ 54 cited

Improving Item Cold-start Recommendation via Model-agnostic Conditional Variational Autoencoder

Xu Zhao, Yi Ren, Ying Du +2

Embedding & MLP has become a paradigm for modern large-scale recommendation system. However, this paradigm suffers from the cold-start problem which will seriously compromise the e…