Examining the Authority and Ranking Effects as the result list depth used in data fusion is varied

Information Processing and Management

Volumn 43, Issue 4, 2007, Pages 1044-1058

  Spoerri, Anselm ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

Authority; Data fusion; Meta search; Ranking effects

Indexed keywords

DATA ACQUISITION; INFORMATION RETRIEVAL SYSTEMS; ONLINE SEARCHING; PROBABILITY;

AUTHORITY AND RANKING EFFECTS; META SEARCH; RANKING EFFECTS;

DATA FUSION;

EID: 33947099123     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2006.09.005     Document Type: Article

References (18)

1. Belkin N.J., Kantor P., Fox E.A., and Shaw J.A. Combining evidence of multiple query representations for information retrieval. Information Processing & Management 31 3 (1995) 431-448
2. Callan J. Distributed information retrieval. In: Croft W.B. (Ed). Advances in Information Retrieval (2000), Kluwer Academic Publishers 127-150
3. Craswell N., and Hawking D. Overview of the TREC 2004 web track. The Thirteenth Text Retrieval Conference (TREC-13), Gaithersburg, MD, USA (2004), US Government Printing Office, Washington
4. Foltz P., and Dumais S. Personalized information delivery: an analysis of information-filtering methods. Communications of the ACM 35 12 (1992) 51-60
5. Fox, E., & Shaw, J. (1994). Combination of multiple searches. 2nd Annual Text Retrieval Conference (TREC-2), NIST, Gaithersburg, MD.
6. Lee, J. H. (1997). Analyses of multiple evidence combination. In Proceedings of the 20th International Conference on Research and Development in Information Retrieval (SIGIR'97) (pp. 267-276).
7. Saracevic T., and Kantor P. A study of information seeking and retrieving. III. Searchers, searches and overlap. Journal of the American Society for Information Science 39 3 (1988) 197-216
8. Spoerri, A. (2005). How the overlap between search results of different retrieval systems correlates with document relevance. In Proceedings of the 68th Annual meeting of the American Society for Information Science and Technology (ASIST 2005).
9. Turtle H., and Croft B. Evaluation of an inference network-based retrieval model. ACM Transactions on Information Systems 9 3 (1991) 187-222
10. Vogt, C., & Cottrell, G. (1998). Predicting the performance of linearly combined IR systems. In Proceedings of the 21th International Conference on Research and Development in Information Retrieval (SIGIR'98) (pp. 190-196).
11. Voorhees E. Overview of the TREC 2003 robust retrieval track. The Twelfth Text Retrieval Conference (TREC-12), Gaithersburg, MD, USA (2003), US Government Printing Office, Washington
12. Voorhees E. Overview of TREC 2004 (TREC-13). The Thirteenth Text Retrieval Conference (TREC-13), Gaithersburg, MD, USA (2004), US Government Printing Office, Washington
13. Voorhees E., and Harman D. Overview of the third text retrieval conference (TREC-3). The Third Text Retrieval Conference (TREC-3), Gaithersburg, MD, USA (1994), US Government Printing Office, Washington
14. Voorhees E., and Harman D. Overview of the seventh text retrieval conference (TREC-7). The Seventh Text Retrieval Conference (TREC-7), Gaithersburg, MD, USA (1998), US Government Printing Office, Washington
15. Voorhees E., and Harman D. Overview of the eighth text retrieval conference (TREC-8). The Eighth Text Retrieval Conference (TREC-8), Gaithersburg, MD, USA (1999), US Government Printing Office, Washington
16. Wu, S., & Crestani, F. (2003). Methods for ranking information retrieval systems without relevance judgements. In Proceedings of the 2003 ACM Symposium on Applied Computing (SAC'03) (pp. 811-816).
17. Wu S., and McClean S. Performance prediction of data fusion for information retrieval. Information Processing & Management 42 4 (2006) 899-915
18. Zobel, J. (1998). How reliable are the results of large-scale information retrieval experiments? In Proceedings of the 21th International Conference on Research and Development in Information Retrieval (SIGIR'98) (pp. 307-314).