Harnessing user contributions and dynamic profiling to better satisfy individual information search needs
by Roman Y. Shtykh, Qun Jin
International Journal of Web and Grid Services (IJWGS), Vol. 4, No. 1, 2008

Abstract: In the situation of information overload we are experiencing today, conventional web search systems taking a one-size-fits-all approach are often not capable of effectively satisfy individual information needs. To improve the quality of web information retrieval, we propose a collaborative personalised search approach that makes an attempt to 'understand' and better satisfy the information needs for each and every searching user. We present a web information retrieval framework called Better Search and Sharing (BESS) that captures user-system interactions, profiles them and induces personal interests that changes over time with an interest-change-driven profiling mechanism that is also extensively used for the co-evaluation of documents found valuable inside a specific search context by users with similar interests.

Online publication date: Sun, 25-May-2008

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