Information filtering via collaborative user clustering modeling
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DOI: 10.1016/j.physa.2013.11.024
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References listed on IDEAS
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Cited by:
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- Ma, Tinghuai & Suo, Xiafei & Zhou, Jinjuan & Tang, Meili & Guan, Donghai & Tian, Yuan & Al-Dhelaan, Abdullah & Al-Rodhaan, Mznah, 2016. "Augmenting matrix factorization technique with the combination of tags and genres," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 101-116.
- Wang, Ximeng & Liu, Yun & Xiong, Fei, 2016. "Improved personalized recommendation based on a similarity network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 271-280.
- Ramezani, Mohsen & Yaghmaee, Farzin, 2016. "A novel video recommendation system based on efficient retrieval of human actions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 607-623.
- Qian, Fulan & Zhao, Shu & Tang, Jie & Zhang, Yanping, 2016. "SoRS: Social recommendation using global rating reputation and local rating similarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 61-72.
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Keywords
Recommender systems; Collaborative filtering; Matrix factorization; User clustering regularization;All these keywords.
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