In this paper we present a new personalized approach that integrates a social profile in distributed search system. The proposed approach exploits the social profile and the different relations between social entities to: (i) make a query expansion, (ii) personalize and improve the result merging process in distributed information retrieval.
CITATION STYLE
Saoud, Z., Kechid, S., & Amrouni, R. (2014). Exploring folksonomy structure for personalizing the result merging process in distributed information retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8891, pp. 42–50). Springer Verlag. https://doi.org/10.1007/978-3-319-13817-6_5
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