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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Seung Yeol Yoo Hoffmann, A. |
| Copyright Year | 2005 |
| Description | Author affiliation: Sch. of Comput. Sci. & Eng., New South Wales Univ., Sydney, NSW, Australia (Seung Yeol Yoo; Hoffmann, A.) |
| Abstract | 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). 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. |
| Sponsorship | IEEE Comput. Soc. Web Intelligence Consortium (WIC) Assoc. for Comput. Machinery (ACM) |
| Starting Page | 422 |
| Ending Page | 425 |
| File Size | 118387 |
| Page Count | 4 |
| File Format | |
| ISBN | 076952415X |
| DOI | 10.1109/WI.2005.122 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-09-19 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer science Information resources Feedback Web pages Information retrieval Iterative algorithms Partitioning algorithms Australia Web search |
| Content Type | Text |
| Resource Type | Article |
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