Collaborative Filtering beyond the User-Item Matrix

@article{Shi2014CollaborativeFB,
  title={Collaborative Filtering beyond the User-Item Matrix},
  author={Yue Shi and M. Larson and A. Hanjalic},
  journal={ACM Computing Surveys (CSUR)},
  year={2014},
  volume={47},
  pages={1 - 45}
}
Over the past two decades, a large amount of research effort has been devoted to developing algorithms that generate recommendations. The resulting research progress has established the importance of the user-item (U-I) matrix, which encodes the individual preferences of users for items in a collection, for recommender systems. The U-I matrix provides the basis for collaborative filtering (CF) techniques, the dominant framework for recommender systems. Currently, new recommendation scenarios… Expand
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