Database Reference
In-Depth Information
Chapter 6
On Using Social Context to Model Information
Retrieval and Collaboration in Scientific
Research Community
Lynda Tamine, Lamjed Ben Jabeur, and Wahiba Bahsoun
Abstract In this chapter, we particularly address the shift in the usage from the
personal context toward social context in information retrieval area. We are
specifically interested in the scientific communities and related practices for
information retrieval, seeking, and collaboration. Therefore, we present an over-
view of works that tackle the problem of information retrieval in scientific
community from a social perspective. Regarding the objective of exploiting the
sociometric foundations in the context of literature retrieval, we present our social
retrieval model. We particularly model the author's importance within the com-
munity, formalize the degree of collaboration between authors, taggers' interest in
a scientific topic, and combine them to tune information relevance in response to a
user query. Experimental evaluation using a scientific corpus of documents and
social data extracted from the academic social network CiteULike ( http://www.
citeulike.org ) is presented and shows the impact of the social view on the retrieval
effectiveness assuming different assumptions of relevance emerging from socially
endorsed data.
6.1
Introduction
It is well known that the fundamental intellectual problems of information retrieval
are the production and consumption of information. More specifically, information
retrieval is a field that deals with storage and access to relevant information
according to the user needs. The main goal of an information retrieval system is
to return to the user the most valuable documents in response to his queries. Several
information retrieval theoretical models have been proposed to specify both document
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