Item Recommendation with Variational Autoencoders and Heterogenous Priors

17 Jul 2018Giannis KaramanolakisKevin Raji CherianAnanth Ravi NarayanJie YuanDa TangTony Jebara

In recent years, Variational Autoencoders (VAEs) have been shown to be highly effective in both standard collaborative filtering applications and extensions such as incorporation of implicit feedback. We extend VAEs to collaborative filtering with side information, for instance when ratings are combined with explicit text feedback from the user... (read more)

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