Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms. (March 2016)

• Record Type: Journal Article
• Authors: Bouadjenek, Mohamed Reda; Hacid, Hakim; Bouzeghoub, Mokrane
• Is Part Of: Information systems. Volume 56(2016)
• Page Start: 1
• Page End: 18
• Publication Date: 2016-03
• Subjects: Information Retrieval -- Social networks -- Social Information Retrieval -- Social search -- Social recommendation; Database management -- Periodicals; Electronic data processing -- Periodicals; Bases de données -- Gestion -- Périodiques; Informatique -- Périodiques; Database management; Electronic data processing; Periodicals; 005.7
• DOI: 10.1016/j.is.2015.07.008
• Languages: English
• ISSNs: 0306-4379

Abstract

Abstract: There is currently a number of research work performed in the area of bridging the gap between Information Retrieval (IR) and Online Social Networks (OSN). This is mainly done by enhancing the IR process with information coming from social networks, a process called Social Information Retrieval (SIR). The main question one might ask is What would be the benefits of using social information (no matter whether it is content or structure) into the information retrieval process and how is this currently done? With the growing number of efforts towards the combination of IR and social networks, it is necessary to build a clearer picture of the domain and synthesize the efforts in a structured and meaningful way. This paper reviews different efforts in this domain. It intends to provide a clear understanding of the issues as well as a clear structure of the contributions. More precisely, we propose (i) to review some of the most important contributions in this domain to understand the principles of SIR, (ii) a taxonomy to categorize these contributions, and finally, (iii) an analysis of some of these contributions and tools with respect to several criteria, which we believe are crucial to design an effective SIR approach. This paper is expected to serve researchers and practitioners as a reference to help them structuring the domain, position themselves and, ultimately, help them to propose new contributions or improve existing ones. Abstract : Highlights: A review of the most representative contributions in Social Information Retrieval. A taxonomy to categorize these contributions in order to structure this wide domain. An analysis of some of these contributions and tools with respect to several criteria.