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OLAP Queries Context-Aware Recommender System

Negre, Elsa; Ravat, Franck; Teste, Olivier (2018), OLAP Queries Context-Aware Recommender System, in Hartmann, Sven; Ma, Hui; Hameurlain, Abdelkader, Database and Expert Systems Applications, Springer International Publishing : Cham, p. 127-137. 10.1007/978-3-319-98812-2_9

Type
Communication / Conférence
Date
2018
Conference title
29th International Conference, DEXA 2018
Conference date
2018-09
Conference city
Regensburg
Conference country
Germany
Book title
Database and Expert Systems Applications
Book author
Hartmann, Sven; Ma, Hui; Hameurlain, Abdelkader
Publisher
Springer International Publishing
Published in
Cham
ISBN
978-3-319-98811-5
Number of pages
521
Pages
127-137
Publication identifier
Metadata
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Author(s)
Negre, Elsa
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Ravat, Franck cc
CNRS/Université de Toulouse
Teste, Olivier cc
CNRS/Université de Toulouse
Abstract (EN)
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.
Subjects / Keywords
data warehousing; on-line analytical processing (OLAP); information systems and applications