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 | Algarni, Abdulmohsen (Author), Li, Yuefeng (Author) and Tao, Xiaohui (Author) |
Editors | Voorhees, E. M. and Buckland, Lori P. |
Journal or Proceedings Title | Proceedings of the 19th Text REtrieval Conference: Relevance Feedback Track (TREC 2010) |
Number of Pages | 9 |
Year | 2010 |
Place of Publication | Gaithersburg, MD, USA |
Web Address (URL) of Paper | http://trec.nist.gov/pubs/trec19/papers/queensland.univ.tech.RF.rev.pdf |
Conference/Event | TREC 2010: 19th Text REtrieval Conference: Relevance Feedback Track |
Event Details | TREC 2010: 19th Text REtrieval Conference: Relevance Feedback Track Event Date 16 to end of 19 Nov 2010 Event Location Gaithersburg, United States |
Abstract | User relevance feedback is usually utilized by Web systems |
Keywords | survey; user feedback; change management; relevance; ranking |
ANZSRC Field of Research 2020 | 460806. Human-computer interaction |
461002. Human information behaviour | |
520105. Psychological methodology, design and analysis | |
Public Notes | No evidence of copyright restrictions preventing deposit. Paper no. 33. |
Byline Affiliations | Queensland University of Technology |
Department of Mathematics and Computing | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0v35/mining-specific-and-general-features-in-both-positive-and-negative-relevance-feedback
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