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A fast and accurate collaborative filter

  • Xi'an Jiaotong University
  • Xi'an Institute of Posts and Telecommunications

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

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.g. BP). This will enable the algorithm more accurate and faster.

源语言英语
主期刊名2009 IEEE International Conference on Granular Computing, GRC 2009
132-135
页数4
DOI
出版状态已出版 - 2009
活动2009 IEEE International Conference on Granular Computing, GRC 2009 - Nanchang, 中国
期限: 17 8月 200919 8月 2009

出版系列

姓名2009 IEEE International Conference on Granular Computing, GRC 2009

会议

会议2009 IEEE International Conference on Granular Computing, GRC 2009
国家/地区中国
Nanchang
时期17/08/0919/08/09

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