The effectiveness of combining information retrieval strategies for European languages

Proceedings of the ACM Symposium on Applied Computing

Volumn 2, Issue , 2004, Pages 1073-1077

  Kamps, Jaap ^a   De Rijke, Maarten ^a  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATION THEORY; COMPUTER PROGRAMMING LANGUAGES; DATA REDUCTION; DATABASE SYSTEMS; PROGRAM PROCESSORS; QUERY LANGUAGES; STATISTICAL METHODS;

COMBINATION STRATEGIES; CROSS LANGUAGE EVALUATION FORUM (CLEF); INFORMATION RETRIEVAL STRATEGIES; QUERY FORMULATIONS;

INFORMATION RETRIEVAL;

EID: 2442623635     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/967900.968118     Document Type: Conference Paper

References (23)

1. J. A. Aslam and M. Montague. Bayes optimal metasearch: A probablistic model for combining the results of multiple retrieval systems. In SIGIR'00, pp. 379-381, 2000.
2. J. A. Aslam and M. Montague. Models for metasearch. In SIGIR'01, pp. 276-284, 2001.
3. S. M. Beitzel et al. Disproving the fusion hypothesis: An analysis of data fusion via effective information retrieval strategies. In ACM SAC'03, pp. 823-827, 2003.
4. N. J. Belkin, C. Cool, W. B. Croft, and J. P. Callan. The effect of multiple query representations on information retrieval system performance. In SIGIR'93, pp. 339-346, 1993.
5. C. Buckley, A. Singhal, and M. Mitra. New retrieval approaches using SMART: TREC 4. In TREC-4, pp. 25-48, 1996.
6. A. Chowdhurry, O. Frieder, D. Grossman, and C. McCabe. Analyses of multiple-evidence combinations for retrieval strategies. In SIGIR'01, pp. 394-395, 2001.
7. W. B. Croft. Combining approaches to information retrieval. In Advances in Information Retrieval, pp. 1-36. Kluwer, 2000.
8. T. de Heer. The application of the concept of homeosemy to natural language information retrieval. IP&M, 18:229-236, 1982.
9. B. Efron. Bootstrap methods: Another look at the jackknife. Annals of Statistics, 7:1-26, 1979.
10. B. Efron and R. J. Tibshirani. An Introduction to the Bootstrap. Chapman and Hall, New York, 1993.
11. E. A. Fox and J. A. Shaw. Combination of multiple searches. In TREC-2, pp. 243-252, 1994.
12. V. Hollink, J. Kamps, C. Monz, and M. de Rijke. Monolingual document retrieval for European languages. IR, 6, 2003.
13. J. H, Lee. Combining multiple evidence from different properties of weighting schemes. In SIGIR'95, pp. 180-188, 1995.
14. J. H. Lee. Analyses of multiple evidence combination. In SIGIR'97, pp. 267-276, 1997.
15. P. McNamee and J. Mayfield. Character n-gram tokenization for European language text retrieval. IR, 6, 2003.
16. C. Monz and M. de Rijke. Shallow morphological analysis in monolingual information retrieval for Dutch, German and Italian. In CLEF-2001, pp. 262-277, 2002.
17. M. Porter. An algorithm for suffix stripping. Program, 14 (3):130-137, 1980.
18. J. J. Rocchio, Jr. Relevance feedback in information retrieval. In The SMART Retrieval System: Experiments in Automatic Document Processing, chapter 14, pp. 313-323. Prentice-Hall, 1971.
19. T. Saracevic and P. B. Kantor. A study of information seeking and retrieving. III. searchers, searches, overlap. JASIST, 39:197-216, 1988.
20. J. Savoy. Combining multiple strategies for effective monolingual and cross-language retrieval. IR, 6, 2003.
21. Snowball. Snowball stemmers, 2003. http://snowball. tartarus.org/.
22. H. Turtle and W. B. Croft. Evaluation of an inference network-based retrieval model. ACM TOIS, 9:187-222, 1991.
23. C. C. Vogt and G. W. Cottrell. Predicting the performance of linearly combined IR systems. In SIGIR'98, pp. 190-196, 1998.