Personalized Social Search Based on the User’s Social Network
David Carmel et al. - IBM Research Lab in Haifa, Israel ( CIKM-2009 ) http://dl.acm.org/citation.cfm?doid=1645953.1646109 Personalizing the search process considers the searcher’s personal attributes & preferences so that the system is able to, for example, do personalized query expansion, re-rank the result list or filter presented information. However, few studies consider the preferences of the user’s related people in social network which can be utilized to enrich the user’s preferences. In the paper “Personalized Social Search Based on the User’s Social Network”, Carmel et al. presents a study that leverages both aforementioned information resources to improve social search, which is the search process over “social” data (e.g., documents or people) gathered from Web 2.0 applications. Particularly, they plan to re-rank search results by considering the relationships with other users in the searcher’s social network (SN). Firstly, Carmel et al. build user profiles from t...