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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