Mining specific and general features in both positive and negative relevance feedback
Paper
Paper/Presentation Title | Mining specific and general features in both positive and negative relevance feedback |
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Presentation Type | Paper |
Authors | Li, Yuefeng (Author), Tao, Xiaohui (Author), Algarni, Abdulmohsen (Author) and Wu, Sheng-Tang (Author) |
Editors | Voorhees, Ellen M. and Buckland, Lori P. |
Journal or Proceedings Title | Proceedings of the 18th Text REtrieval Conference (TREC 2009) |
Number of Pages | 12 |
Year | 2009 |
Place of Publication | Gaithersburg, MD. United States |
Web Address (URL) of Paper | http://trec.nist.gov/pubs/trec18/papers/queenslandu.RF.pdf |
Conference/Event | TREC 2009: 18th Text REtrieval Conference |
Event Details | TREC 2009: 18th Text REtrieval Conference Event Date 17 to end of 20 Nov 2009 Event Location Gaithersburg, United States |
Abstract | User relevance feedback is usually utilized by Web systems to interpret user information needs and retrieval effective results for users. However, how to discover useful knowledge in user relevance feedback and how to wisely |
Keywords | web searching; techniques; relevance |
ANZSRC Field of Research 2020 | 469999. Other information and computing sciences not elsewhere classified |
461002. Human information behaviour | |
460508. Information retrieval and web search | |
Public Notes | Paper no. 36. |
Byline Affiliations | Queensland University of Technology |
Asia University, Taiwan | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q102v/mining-specific-and-general-features-in-both-positive-and-negative-relevance-feedback
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