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 |
|---|---|
| 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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