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http://dx.doi.org/10.3745/KIPSTD.2009.16D.5.683

Personalized and Social Search by Finding User Similarity based on Social Networks  

Park, Gun-Woo (국방대학교 전산정보학과)
Oh, Jung-Woon (해군 이종무함 작전관)
Lee, Sang-Hoon (국방대학교 전산정보학과)
Publication Information
The KIPS Transactions:PartD / v.16D, no.5, 2009 , pp. 683-690 More about this Journal
Abstract
Social Networks which is composed of network with an individual in the center in a web support mutual-understanding of information by searching user profile and forming new link. Therefore, if we apply the Social Network which consists of web users who have similar immanent information to web search, we can improve efficiency of web search and satisfaction of web user about search results. In this paper, first, we make a Social Network using web users linked directly or indirectly. Next, we calculate Similarity among web users using their immanent information according to topics, and then reconstruct Social Network based on varying Similarity according to topics. Last, we compare Similarity with Search Pattern. As a result of this test, we can confirm a result that among users who have high relationship index, that is, who have strong link strength according to personal attributes have similar search pattern. If such fact is applied to search algorithm, it can be possible to improve search efficiency and reliability in personalized and social search.
Keywords
Social Networks; Personalized Search; Social Search; User Similarity; Search Pattern;
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