Improving K-nearest-neighborhood based Collaborative Filtering via Similarity Support
暂无分享,去创建一个
Xin Luo | Zhang Xiong | Yuanxin Ouyang | Z. Xiong | Y. Ouyang | Xin Luo
[1] Yao Zhao,et al. A Collaborative Filtering Recommendation Algorithm Based on User Interest Change and Trust Evaluation , 2010, J. Digit. Content Technol. its Appl..
[2] Arkadiusz Paterek,et al. Improving regularized singular value decomposition for collaborative filtering , 2007 .
[3] Caiming Zhang,et al. Image Interpolation using Collaborative Filtering , 2011 .
[4] András A. Benczúr,et al. Methods for large scale SVD with missing values , 2007 .
[5] Yehuda Koren,et al. Improved Neighborhood-based Collaborative Filtering , 2007 .
[6] George Karypis,et al. Item-based top-N recommendation algorithms , 2004, TOIS.
[7] John Riedl,et al. Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.
[8] Yehuda Koren,et al. Factor in the neighbors: Scalable and accurate collaborative filtering , 2010, TKDD.
[9] Domonkos Tikk,et al. Investigation of Various Matrix Factorization Methods for Large Recommender Systems , 2008, 2008 IEEE International Conference on Data Mining Workshops.
[10] John Riedl,et al. An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms , 2002, Information Retrieval.
[11] Gediminas Adomavicius,et al. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions , 2005, IEEE Transactions on Knowledge and Data Engineering.
[12] Jonathan L. Herlocker,et al. Evaluating collaborative filtering recommender systems , 2004, TOIS.