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…