Item-user preference mapping with mixture models: Data visualization for item preference

Yu Fujimoto, Hideitsu Hino, Noboru Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we propose a visualization technique of a statistical relation of users and preference of items based on a mixture model. In our visualization, items are given as points in a few dimensional preference space, and user specific preferences are given as lines in the same space. The relationship between items and user preferences are intuitively interpreted via projections from points onto lines. As a primitive implementation, we introduce a mixture of the Bradley-Terry models, and visualize the relation between items and user preferences with benchmark data sets.

Original languageEnglish
Title of host publicationKDIR 2009 - 1st International Conference on Knowledge Discovery and Information Retrieval, Proceedings
Pages105-111
Number of pages7
Publication statusPublished - 2009 Dec 1
Event1st International Conference on Knowledge Discovery and Information Retrieval, KDIR 2009 - Funchal, Madeira, Portugal
Duration: 2009 Oct 62009 Oct 8

Publication series

NameKDIR 2009 - 1st International Conference on Knowledge Discovery and Information Retrieval, Proceedings

Conference

Conference1st International Conference on Knowledge Discovery and Information Retrieval, KDIR 2009
CountryPortugal
CityFunchal, Madeira
Period09/10/609/10/8

Keywords

  • Bradley-Terry model
  • Data visualization
  • EM algorithm
  • Mixture model
  • Preference map

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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