Axiomatic Term-Based Personalized Query Expansion Using Bookmarking System

Philippe Mulhem 1 Nawal Ould Amer 1, 2 Mathias Géry 2
1 LIG - Laboratoire d'Informatique de Grenoble
2 LHC - Laboratoire Hubert Curien [Saint Etienne]
Abstract : This paper tackles the problem of pinpointing relevant information in a social network for Personalized Information Retrieval (PIR). We start from the premise that user profiles must be filtered so that they outperform non profile based queries. The formal Profile Query Expansion Constraint is then defined. We fix a specific integration of profile and a probabilistic matching framework that fits into the constraint defined. Experiments are conducted on the Bibson-omy corpus. Our findings show that even simple profile adaptation using query is effective for Personalized Information Retrieval.
Keywords : social network probabilistic retrieval profile selection axiomatic IR
Type de document :
Communication dans un congrès
Sven Hartmann and Hui Ma. Database and Expert Systems Applications - 27th International Conference, DEXA 2016, Sep 2016, Porto, Portugal. Springer, 9828, pp.235 - 243, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-44406-2_17〉
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger
https://hal-ujm.archives-ouvertes.fr/ujm-01377069
Contributeur : Mathias Géry <>
Soumis le : lundi 10 octobre 2016 - 09:47:20
Dernière modification le : jeudi 26 juillet 2018 - 01:10:59
Document(s) archivé(s) le : mercredi 11 janvier 2017 - 12:47:40

Fichier

2016_06_06_axiomatic-term-base...
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

UNIV-ST-ETIENNE | LIG_SRCPR | LIG | UGA | IOGS | PARISTECH | UNIV-PARIS-SACLAY

Citation

Philippe Mulhem, Nawal Ould Amer, Mathias Géry. Axiomatic Term-Based Personalized Query Expansion Using Bookmarking System. Sven Hartmann and Hui Ma. Database and Expert Systems Applications - 27th International Conference, DEXA 2016, Sep 2016, Porto, Portugal. Springer, 9828, pp.235 - 243, 2016, Lecture Notes in Computer Science. 〈10.1007/978-3-319-44406-2_17〉. 〈ujm-01377069〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

86

Téléchargements de fichiers

199

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD