BriefGPT.xyz
Jul, 2018
使用变分自编码器和异质先验进行物品推荐
Item Recommendation with Variational Autoencoders and Heterogenous Priors
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Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang...
TL;DR
本文提出了一种在 Variational Autoencoders 框架下利用用户评论文本并加入用户自适应先验来提高协同过滤推荐质量的方法,实验证明该方法比已有的基于用户评分与文本的推荐模型有更高的排名指标。
Abstract
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
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