Abstract
There is currently a number of interesting research works performed in the area of bridging the gap between Social Networks and Information Retrieval (IR). This is mainly done by enhancing the IR process with social information. Hence, many approaches have been proposed to improve the ranking process by personalizing it using social features. In this paper, we review some of these ranking functions. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Bouadjenek, M. R., Bennamane, A., Hacid, H., & Bouzeghoub, M. (2013). Evaluation of personalized social ranking functions of information retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7977 LNCS, pp. 283–290). https://doi.org/10.1007/978-3-642-39200-9_24
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