User-Centered Social Information Retrieval Model Exploiting Annotations and Social Relationships

Chahrazed Bouhini (1) , Mathias Géry (2) , Christine Largeron (2)

1 Fouille et Recherche dÍnformation
2 LHC - Laboratoire Hubert Curien

Social Information Retrieval (SIR) has extended the classical information retrieval models and systems to take into account social information of the user within his social networks. We assume that a SIR system can exploit the informational social context (ISC) of the user in order to refine his retrieval, since different users may express different information needs as the same query. Hence, we present a SIR model that takes into account the user's social data, such as his annotations and his social relationships through social networks. We propose to integrate the user's ISC into the documents indexing process, allowing the SIR system to personalize the list of documents returned to the user. Our approach has shown interesting results on a test collection built from the social collaborative bookmarking network Delicious.

Domains: Information Retrieval [cs.IR]

Chahrazed Bouhini, Mathias Géry, Christine Largeron. User-Centered Social Information Retrieval Model Exploiting Annotations and Social Relationships. Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, Dec 2013, Singapore, Singapore. pp.356-367, ⟨10.1007/978-3-642-45068-6_31⟩. ⟨ujm-00965534⟩