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Preference-Based Recommendations for OLAP Analysis
Conference proceeding   Peer reviewed

Preference-Based Recommendations for OLAP Analysis

Houssem Jerbi, Franck Ravat, Olivier Teste and Gilles Zurfluh
DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS, Vol.5691, pp.467-478
Lecture Notes in Computer Science
01/01/2009
DOI: https://doi.org/10.1007/978-3-642-03730-6_37

Abstract

Computer Science Computer Science, Information Systems Computer Science, Theory & Methods Science & Technology Technology
This paper presents a framework for integrating OLAP and recommendations. We focus oil 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 decision-makers intuition, and we discuss a preference-based approach for generating personalized recommendations.

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