Harnessing user contributions and dynamic profiling to better satisfy individual information search needs

: 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.

• Type: Journal
• Year: 2008
• Where: IJWGS
• Authors: Roman Y. Shtykh, Qun Jin
• Keywords: Conventional Web Search, IJWGS 2008, Personalised Search Approach, Web Information Retrieval