“Meet BESS” — 研究室が発表した論文に対するレビュー

Meet BESS

May 26th, 2008 · by David Bradley

http://www.sciencetext.com/meet-bess.html

[Excerpt]

Now, Roman Shtykh and Qun Jin of the Networked Information Systems Laboratory at Waseda University, in Japan, have also recognized that a one-size-fits-all to dealing with information overload is not the most effective way of satisfying anyone’s individual information needs. But, rather than simply griping about the problem, they propose a new a new form of collaborative personalized search that attempts to understand your search.

They have developed a web information retrieval framework called Better Search and Sharing (BESS) that captures interactions between users and the system. This can then be used to produce user profile and then tailor results to personal interests dynamically, the same mechanism could be used to co-evaluate documents found valuable within a specific search context by users with similar interests, their subjective index.

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BESS is different. It is a community-oriented system, but has the features of a horizontal search system, like Google personalized search and a vertical search system like Google custom search rolled into one. “It performs searches on the information assets of both horizontal (the objective index unedited, non-controlled) and vertical (subjective index, evaluated, commented).

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• R.Y. Shtykh and Q. Jin: “Harnessing User Contributions and Dynamic Profiling to Better Satisfy Individual Information Search Needs,” International Journal of Web and Grid Services (Inderscience), Vol.4, No.1, pp.63-79 (2008). [Local PDF], [Online PDF]