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    Google+Facebook: A Social-Network- Optimized Web Search Approach

    iUBICOM ’11: The 6th International Workshop on Ubiquitous and Collaborative Computing

    In conjunction with the 25th BCS Conference on Human Computer Interaction (HCI 2011)

    Northumbria University, Newcastle, 4 July 2011

    AUTHORS

    Yuqing Mao, Haifeng Shen and Chengzheng Sun

    ABSTRACT

    Social search and social network are both prevalent approaches for people seeking information on the Web. Existing work generally addresses issues of the two approaches in an isolated way. In this paper, we introduce a method for incorporating social network in social search processes. Our method integrates social networking into a novel epistemology-based social search framework, where users in a social search community contribute epistemologies that include all information derived from their search processes, and forms and utilizes social networks from their search activities to improve the social search experience. We designed and developed a prototype system in which the proposed approach is implemented. We also conducted experiments to validate this approach. The results show that the social-network-optimized social search system outperforms a conventional search engine.

    PAPER FORMATS

    PDF filePDF Version of this Paper  (676kb)