Preference-Based Recommendations for OLAP Analysis

نویسندگان

  • Houssem Jerbi
  • Franck Ravat
  • Olivier Teste
  • Gilles Zurfluh
چکیده

This paper presents a framework for integrating OLAP and recommendations. We focus on the anticipatory recommendation process that assists the user during his OLAP analysis by proposing to him the forthcoming analysis step. We present a context-aware preference model that matches decisionmakers intuition, and we discuss a preference-based approach for generating personalized recommendations.

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تاریخ انتشار 2009