Mining Preferences from OLAP Query Logs for Proactive Personalization - Archive ouverte HAL
Communication Dans Un Congrès Année : 2011

Mining Preferences from OLAP Query Logs for Proactive Personalization

Résumé

The goal of personalization is to deliver information that is relevant to an individual or a group of individuals in the most appropriate format and layout. In the OLAP context personalization is quite beneficial, because queries can be very complex and they may return huge amounts of data. Aimed at making the user's experience with OLAP as plain as possible, in this paper we propose a proactive approach that couples an MDX-based language for expressing OLAP preferences to a mining technique for automatically deriving preferences. First, the log of past MDX queries issued by that user is mined to extract a set of association rules that relate sets of frequent query fragments; then, given a specific query, a subset of pertinent and effective rules is selected; finally, the selected rules are translated into a preference that is used to annotate the user's query. A set of experimental results proves the effectiveness and efficiency of our approach.
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Dates et versions

hal-01024343 , version 1 (16-07-2014)

Identifiants

  • HAL Id : hal-01024343 , version 1

Citer

Julien Aligon, Matteo Golfarelli, Patrick Marcel, Stefano Rizzy, Elisa Turricchia. Mining Preferences from OLAP Query Logs for Proactive Personalization. 15th Internationale Conference on Advances in Databases and Information Systems, 2011, Vienne, Austria. pp.84-97. ⟨hal-01024343⟩
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