Continuous optimization for item selection in collaborative filtering

Kohei Inoue, Kiichi Urahama

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)1987-1988
Number of pages2
JournalIEICE Transactions on Information and Systems
Issue number7
Publication statusPublished - Jul 2004

All Science Journal Classification (ASJC) codes

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


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