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Social Information Retrieval and Recommendation: state- of-the-art and future research

Abstract : 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.
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Submitted on : Tuesday, April 2, 2019 - 9:54:07 AM
Last modification on : Wednesday, October 28, 2020 - 1:08:02 PM
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Abir Gorrab, Ferihane Kboubi, Henda Ben Ghézala. Social Information Retrieval and Recommendation: state- of-the-art and future research. Revue Africaine de la Recherche en Informatique et Mathématiques Appliquées, INRIA, 2019, Volume 27 - 2017 - Special issue CARI 2016, ⟨10.46298/arima.3101⟩. ⟨hal-01444570v2⟩

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