A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems

  title={A Unified Collaborative Representation Learning for Neural-Network based Recommender Systems},
  author={Yuanbo Xu and En Wang and Yongjian Yang and Yi Chang},
Existing neural-network based recommender systemsusually first employ matrix embedding (ME)as a pre-process to learn usersand itemsrepresentations (latent vectors)to make accurate Top-k recommendations. However, most NN-RSs focus on accuracy by building representations from the direct user-item interactions, while ignoring the underlying relatedness between users and items, which is an ideological drawback. On the other hand, ME models directlyemploy inner products as a default loss function… 
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