Distributed Representations for Building Profiles of Users and Items from Text Reviews

COLING 2016 Wenliang ChenZhenjie ZhangZhenghua LiMin Zhang

In this paper, we propose an approach to learn distributed representations of users and items from text comments for recommendation systems. Traditional recommendation algorithms, e.g. collaborative filtering and matrix completion, are not designed to exploit the key information hidden in the text comments, while existing opinion mining methods do not provide direct support to recommendation systems with useful features on users and items... (read more)

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