eprintid: 28274
rev_number: 9
eprint_status: archive
userid: 1343
dir: disk0/00/02/82/74
datestamp: 2018-12-05 10:26:37
lastmod: 2021-04-02 15:58:38
status_changed: 2018-12-05 10:26:37
type: book_section
metadata_visibility: show
creators_name: Negre, Elsa
creators_name: Ravat, Franck
creators_name: Teste, Olivier
creators_idrefppn: 14413974X
creators_idrefppn: 127663711
creators_idrefppn: 076013286
title: OLAP queries context-aware recommender system (short paper)
ispublished: pub
subjects: subjects_INFO
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.
date: 2018
date_type: published
publisher: Dexa
book_subtitle: Lecture Notes in Computer Science
official_url: https://doi.org/10.1007/978-3-319-98812-2_9
faculty: info
divisions: IRIT
keywords: recommender system
keywords: OLAP System
keywords: context-aware-recommenderr system
language: en
has_fulltext: FALSE
book_chapter: Vol. 11030
view_date_year: 2018
full_text_status: none
pagerange: 127-137
isbn: 978-3-319-98811-5
book_title: Database and Expert Systems Applications.
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citation:   Negre, Elsa <https://www.idref.fr/14413974X>, Ravat, Franck <https://www.idref.fr/127663711> and Teste, Olivier <https://www.idref.fr/076013286>  (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