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CIKM
2009
Springer

Personalized social search based on the user's social network

10 years 6 months ago
Personalized social search based on the user's social network
This work investigates personalized social search based on the user’s social relations – search results are re-ranked according to their relations with individuals in the user’s social network. We study the effectiveness of several social network types for personalization: (1) Familiarity-based network of people related to the user through explicit familiarity connection; (2) Similarity-based network of people “similar” to the user as reflected by their social activity; (3) Overall network that provides both relationship types. For comparison we also experiment with Topic-based personalization that is based on the user’s related terms, aggregated from several social applications. We evaluate the contribution of the different personalization strategies by an off-line study and by a user survey within our organization. In the off-line study we apply bookmark-based evaluation, suggested recently, that exploits data gathered from a social bookmarking system to evaluate pe...
David Carmel, Naama Zwerdling, Ido Guy, Shila Ofek
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where CIKM
Authors David Carmel, Naama Zwerdling, Ido Guy, Shila Ofek-Koifman, Nadav Har'El, Inbal Ronen, Erel Uziel, Sivan Yogev, Sergey Chernov
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