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Web Intelligence, IEEE / WIC / ACM International Conference on (2005)
Compi?gne University of Technology, France
Sept. 19, 2005 to Sept. 22, 2005
ISBN: 0-7695-2415-X
pp: 422-425
Seung Yeol Yoo , University of New South Wales
Achim Hoffmann , University of New South Wales
ABSTRACT
<p>To make web search more effective, we address the problem of articulating a user?s information needs more effectively. This is done in an iterative way, by allowing the user to provide relevance feedback regarding individual segments of retrieved Web-pages. Previously applied methods are limited to discovering ?general importance values of segments? (based on the authors? ?objective views? i.e., main topics) rather than ?subjective importance values of segments? (based on a user?s ?subjective view? i.e., personal information needs).</p> <p>In this paper, a user?s interests are incrementally identified by allowing the user to iteratively select relevant keywords or phrases from a set of system-recommended candidate-keywords and candidate-phrases (i.e., pseudo-relevance feedback). It makes it possible to discover ?subjective importance values of segments? that can be dynamically changed by the user by indicating their interests regarding retrieved Web-pages. The important segments, selected by the user, provide higher precision of pseudo-relevance feedback for further Web Information Retrieval purposes.</p>
INDEX TERMS
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CITATION

S. Y. Yoo and A. Hoffmann, "Pseudo-Relevance Feedback in Web Information Retrieval Using Segments? Subjective Importance Values," Proceedings. The 2005 IEEE/WIC/ACM International Conference on Web Intelligence(WI), Compiegne, France, 2005, pp. 422-425.
doi:10.1109/WI.2005.122
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