A novel Collaborative Filtering recommendation approach based on Soft Co-Clustering
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DOI: 10.1016/j.physa.2020.125140
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References listed on IDEAS
- Zhang, Jing & Peng, Qinke & Sun, Shiquan & Liu, Che, 2014. "Collaborative filtering recommendation algorithm based on user preference derived from item domain features," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 396(C), pages 66-76.
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Cited by:
- Jiang, Liang-Chao & Liu, Run-Ran & Jia, Chun-Xiao, 2022. "User-location distribution serves as a useful feature in item-based collaborative filtering," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
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Keywords
Recommender systems; Collaborative Filtering; Soft Co-Clustering (SCoC); Soft K-indicators Alternative Projection (SKAP) algorithm; Partition matrix;All these keywords.
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