Full Citation

Title: Mining Preferences from OLAP Query Logs for Proactive Personalization

Citation Type: Miscellaneous

Publication Year: 2011

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Abstract: 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 users 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 users query. A set of experimental results proves the effectiveness and efficiency of our approach.

User Submitted?: No

Authors: Aligon, Julien; Rizzi, Stefano; Turricchia, Elisa; Marcel, Patrick; Golfarelli, Matteo

Publisher: Springer-Verlag

Data Collections: IPUMS USA

Topics: Methodology and Data Collection, Other

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