Augmenting matrix factorization technique with the combination of tags and genres
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DOI: 10.1016/j.physa.2016.05.021
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References listed on IDEAS
- Zhang, Zi-Ke & Yu, Lu & Fang, Kuan & You, Zhi-Qiang & Liu, Chuang & Liu, Hao & Yan, Xiao-Yong, 2014. "Website-oriented recommendation based on heat spreading and tag-aware collaborative filtering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 82-88.
- Ding, Chris & Li, Tao & Peng, Wei, 2008. "On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing," Computational Statistics & Data Analysis, Elsevier, vol. 52(8), pages 3913-3927, April.
- Zhang, Chu-Xu & Zhang, Zi-Ke & Yu, Lu & Liu, Chuang & Liu, Hao & Yan, Xiao-Yong, 2014. "Information filtering via collaborative user clustering modeling," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 396(C), pages 195-203.
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Cited by:
- Deng, Xiuqin & Liu, Taiheng & Li, Wenzhou & Liu, Fuchun & Peng, Jiaen, 2019. "A latent factor model of fusing social regularization term and item regularization term," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1330-1342.
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Keywords
Recommender systems; Matrix factorization; Tags; Genres; LSI;All these keywords.
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