Using collaborative queries to improve retrieval for difficult topics

Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'07

Volumn , Issue , 2007, Pages 879-880

  Fu, Xin ^a   Kelly, Diane ^a   Shah, Chirag ^a  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

Collaborative queries; Polyrepresentation

Indexed keywords

DATA ACQUISITION; INFORMATION RETRIEVAL; ROBUST CONTROL; SEARCH ENGINES; USER INTERFACES;

COLLABORATIVE QUERIES; POLYREPRESENTATION; TREC ROBUST TRACK;

QUERY LANGUAGES;

EID: 36448936000     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1277741.1277955     Document Type: Conference Paper

References (6)

1. Belkin, N. J., Cool, C., Croft, W. B., & Callan, J. P. (1993). The effect of multiple query representations on information retrieval system performance. Proc. of SIGIR '93, 339-346.
2. Ingwersen, P. (1996). Cognitive perspectives of information retrieval interaction: Elements of a cognitive IR theory. Journal of Documentation, 52, 3-50.
3. Joachims, T., Granka, L., Pan, B., Hembrooke, H., & Gay, G. (2005). Accurately interpreting clickthrough data as implicit feedback. Proc. of SIGIR '05, 154-161.
4. Kelly, D., Fu, X., & Shah, C. (2007). Effects of rank and precision of search results on users' evaluations of system performance. UNC SILS Technical Report, TR-2007-02. Available at: http://sils.unc.edu/research/ techreports.html
5. Smyth, B., Balfe, E., Freyne, J., Briggs, P., Coyle, M., & Boydell, O. (2004). Exploiting query repetition and regularity in an adaptive community-based Web search engine. User Modeling and User-Adapted Interaction, 14(5), 382-423.
6. Voorhees, E. M. (2006). Overview of the TREC 2005 Robust Retrieval Track. Proc. of TREC-14.