Continuous optimization for item selection in collaborative filtering

Kohei Inoue, Kiichi Urahama

研究成果: Contribution to journalArticle査読

3 被引用数 (Scopus)

抄録

A method is presented for selecting items asked for new users to input their preference rates on those items in recommendation systems based on the collaborative filtering. Optimal item selection is formulated by an integer programming problem and we solve it by using a kind of the Hopfield-network-like scheme for interior point methods.

本文言語英語
ページ(範囲)1987-1988
ページ数2
ジャーナルIEICE Transactions on Information and Systems
E87-D
7
出版ステータス出版済み - 7 2004

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Graphics and Computer-Aided Design
  • Software

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