Collaborative filtering recommendation based on fuzzy clustering of user preferences

Abstract

In recent years, extensive researches have been conducted to develop approaches to answer two major challenges for collaborative filtering problems, namely sparsity and scalability. In this paper, we propose a novel collaborative filtering recommendation approach to alleviate these challenges. Our approach firstly converts the user-item ratings matrix to… (More)
DOI: 10.1109/FSKD.2010.5569467

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Cite this paper

@article{Wang2010CollaborativeFR, title={Collaborative filtering recommendation based on fuzzy clustering of user preferences}, author={Jing Wang and Nai-Ying Zhang and Jian Yin}, journal={2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery}, year={2010}, volume={4}, pages={1946-1950} }