Abir Gorrab ; Ferihane Kboubi ; Henda Ghézala - Social Information Retrieval and Recommendation: state- of-the-art and future research

arima:3101 - Revue Africaine de Recherche en Informatique et Mathématiques Appliquées, April 19, 2019, Volume 27 - 2017 - Special issue CARI 2016 - https://doi.org/10.46298/arima.3101
Social Information Retrieval and Recommendation: state- of-the-art and future researchArticle

Authors: Abir Gorrab 1; Ferihane Kboubi 1; Henda Ghézala ORCID1

  • 1 Laboratoire de recherche en Génie Logiciel, Applications distribuées, Systèmes décisionnels et Imagerie intelligente [Manouba]

The explosion of web 2.0 and social networks has created an enormous and rewarding source of information that has motivated researchers in different fields to exploit it. Our work revolves around the issue of access and identification of social information and their use in building a user profile enriched with a social dimension, and operating in a process of personalization and recommendation. We study several approaches of Social IR (Information Retrieval), distinguished by the type of incorporated social information. We also study various social recommendation approaches classified by the type of recommendation. We then present a study of techniques for modeling the social user profile dimension, followed by a critical discussion. Thus, we propose our social recommendation approach integrating an advanced social user profile model.

Volume: Volume 27 - 2017 - Special issue CARI 2016
Published on: April 19, 2019
Accepted on: July 3, 2017
Submitted on: January 31, 2017
Keywords: user profile,social networks,social recommendation,social information retrieval,recherche d’information sociale,recommandation sociale,réseaux sociaux,profil utilisateur,[INFO.INFO-SI]Computer Science [cs]/Social and Information Networks [cs.SI]

Consultation statistics

This page has been seen 393 times.
This article's PDF has been downloaded 964 times.