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

Roman Y. Shtykh, Qun Jin

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)63-79
Number of pages17
JournalInternational Journal of Web and Grid Services
Volume4
Issue number1
DOIs
Publication statusPublished - 2008 May

Keywords

  • Collaborative personalised search
  • Dynamic user profiling
  • Relevance feedback
  • Subjective concept-directed vertical search
  • Subjective index

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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