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

Roman Y. Shtykh*, Qun Jin

*この研究の対応する著者

研究成果: Article査読

6 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)63-79
ページ数17
ジャーナルInternational Journal of Web and Grid Services
4
1
DOI
出版ステータスPublished - 2008 5

ASJC Scopus subject areas

  • ソフトウェア
  • コンピュータ ネットワークおよび通信

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