An empirical study on user-topic rating based collaborative filtering methods

@article{He2016AnES,
  title={An empirical study on user-topic rating based collaborative filtering methods},
  author={Tieke He and Zhenyu Chen and Jia Liu and Xiaofang Zhou and Xingzhong Du and Weiqing Wang},
  journal={World Wide Web},
  year={2016},
  volume={20},
  pages={815-829}
}
User based collaborative filtering (CF) has been successfully applied into recommender system for years. The main idea of user based CF is to discover communities of users sharing similar interests, thus, in which, the measurement of user similarity is the foundation of CF. However, existing user based CF methods suffer from data sparsity, which means the user-item matrix is often too sparse to get ideal outcome in recommender systems. One possible way to alleviate this problem is to bring new… CONTINUE READING

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