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 / ConférenceDate
2018Conference title
29th International Conference, DEXA 2018Conference date
2018-09Conference city
RegensburgConference country
GermanyBook title
Database and Expert Systems ApplicationsBook author
Hartmann, Sven; Ma, Hui; Hameurlain, AbdelkaderPublisher
Springer International Publishing
Published in
Cham
ISBN
978-3-319-98811-5
Number of pages
521Pages
127-137
Publication identifier
Metadata
Show full item recordAuthor(s)
Negre, ElsaLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Ravat, Franck

CNRS/Université de Toulouse
Teste, Olivier

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 applicationsRelated items
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