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OLAP queries context-aware recommender system

Negre, Elsa and Ravat, Franck and Teste, Olivier OLAP queries context-aware recommender system. (2018) In: International Conference on Database and Expert Systems Applications (DEXA 2018), 3 September 2018 - 6 September 2018 (Regensburg, Germany).

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


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:Conference or Workshop Item (Paper)
Additional Information:Thanks to Springer editor. This papers appears in volume 11030 Lecture Notes in Computer Science ISSN : 0302-9743 ISBN 978-3-319-98811-5 The original PDF is available at: https://link.springer.com/chapter/10.1007/978-3-319-98812-2_9
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Université Paris-Dauphine (FRANCE)
Laboratory name:
Deposited On:04 Sep 2019 14:10

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