A fast and accurate collaborative filter

Abstract

There are two key issues for collaborative filtering: curse of dimension and long-consuming training. In our proposed algorithm, the curse of dimension problem is resolved by the proposed Reduced-SVD technique effectively and long-consuming training is addressed by Extreme Learning Machine (ELM) which is hundreds of times faster than iterative algorithms (e… (More)
DOI: 10.1109/GRC.2009.5255149

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Cite this paper

@article{Deng2009AFA, title={A fast and accurate collaborative filter}, author={Wanyu Deng and Qinghua Zheng and Lin Chen}, journal={2009 IEEE International Conference on Granular Computing}, year={2009}, pages={132-135} }