OLAP queries context-aware recommender system (short paper)

Negre, Elsa, Ravat, Franck and Teste, Olivier (2018) OLAP queries context-aware recommender system (short paper). In: Database and Expert Systems Applications.: Lecture Notes in Computer Science Dexa. Chapter Vol. 11030. pp. 127-137. ISBN 978-3-319-98811-5

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Official URL: https://doi.org/10.1007/978-3-319-98812-2_9

Abstract

It becomes hard and tedious to easily obtain relevant decisional data in large data warehouses. In order to ease user exploration during on-line analytical processing analysis, recommender systems are developed. However some recommendations can be inappropriate (irrelevant queries or non-computable queries). To overcome these mismatches, we propose to integrate contextual data into the recommender system. In this paper, we provide (i) an indicator of obsolescence for OLAP queries and (ii) a context-aware recommender system based on a contextual post-filtering for OLAP queries.

Item Type: Book Section
Language: English
Date: 2018
Uncontrolled Keywords: recommender system, OLAP System, context-aware-recommenderr system
Subjects: H- INFORMATIQUE
Divisions: Institut de Recherche en Informatique de Toulouse
Site: UT1
Date Deposited: 05 Dec 2018 10:26
Last Modified: 05 Dec 2018 10:26
URI: http://publications.ut-capitole.fr/id/eprint/28274

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