Joint User Modeling Across Aligned Heterogeneous Sites Using Neural Networks

  title={Joint User Modeling Across Aligned Heterogeneous Sites Using Neural Networks},
  author={Xuezhi Cao and Yong Yu},
The quality of user modeling is crucial for personalized recommender systems. Traditional within-site recommender systems aim at modeling user preferences using only actions within target site, thus suffer from cold-start problem. To alleviate such problem, researchers propose cross-domain models to leverage user actions from other domains within same site. Joint user modeling is later proposed to further integrate user actions from aligned sites for data enrichment. However, there are still… 
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