Fast and effective focused retrieval

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6203 LNCS, Issue , 2010, Pages 229-241

  Trotman, Andrew ^a   Jia, Xiang Fei ^a   Geva, Shlomo ^b  

^a UNIVERSITY OF OTAGO   (New Zealand)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AD HOC RETRIEVAL; AD HOC TRACKS; FAST QUERY; FOCUSED RETRIEVAL; PRUNING METHODS; TWO-STEP PROCESS;

INFORMATION RETRIEVAL; MARKUP LANGUAGES; WORLD WIDE WEB; XML; EFFICIENCY;

SEARCH ENGINES;

EID: 77955317487     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14556-8_24     Document Type: Conference Paper

References (19)

1. Zobel, J., Moffat, A., Ramamohanarao, K.: Inverted files versus signature files for text indexing. ACM Trans. Database Syst. 23 (4), 453-490 (1998)
2. Zobel, J., Moffat, A.: Inverted files for text search engines. ACM Comput. Surv. 38 (2), 6 (2006)
3. Trotman, A.: Compressing inverted files. Inf. Retr. 6 (1), 5-19 (2003)
4. Anh, V. N., Moffat, A.: Inverted index compression using word-aligned binary codes. Inf. Retr. 8 (1), 151-166 (2005)
5. Anh, V. N., Moffat, A.: Improved word-aligned binary compression for text indexing. IEEE Transactions on Knowledge and Data Engineering 18 (6), 857-861 (2006)
6. Bovet, D. P., Cesati, M.: Understanding the linux kernel, 3rd edn. (November 2005)
7. Jia, X., Trotman, A., O'Keefe, R., Huang, Z.: Application-specific disk I/O optimisation for a search engine. In: PDCAT'08: Proceedings of the 2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies, Washington, DC, USA, pp. 399-404. IEEE Computer Society, Los Alamitos (2008)
8. Baeza-Yates, R., Gionis, A., Junqueira, F., Murdock, V., Plachouras, V., Silvestri, F.: The impact of caching on search engines. In: SIGIR'07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 183-190. ACM, New York (2007)
9. Salton, G., Buckley, C.: Term-weighting approaches in automatic text retrieval, pp. 513-523 (1988)
10. Lee, D. L., Chuang, H., Seamons, K.: Document ranking and the vector-space model. IEEE Softw. 14 (2), 67-75 (1997)
11. Harman, D., Candela, G.: Retrieving records from a gigabyte of text on a minicomputer using statistical ranking. Journal of the American Society for Information Science 41, 581-589 (1990)
12. Buckley, C., Lewit, A. F.: Optimization of inverted vector searches, pp. 97-110 (1985)
13. Moffat, A., Zobel, J.: Self-indexing inverted files for fast text retrieval. ACM Trans. Inf. Syst. 14 (4), 349-379 (1996)
14. Persin, M.: Document filtering for fast ranking, pp. 339-348 (1994)
15. Persin, M., Zobel, J., Sacks-Davis, R.: Filtered document retrieval with frequencysorted indexes. J. Am. Soc. Inf. Sci. 47 (10), 749-764 (1996)
16. Anh, V. N., de Kretser, O., Moffat, A.: Vector-space ranking with effective early termination, pp. 35-42 (2001)
17. Bentley, J. L., Mcilroy, M. D.: Engineering a sort function (1993)
18. Anh, V. N., Moffat, A.: Compressed inverted files with reduced decoding overheads, pp. 290-297 (1998)
19. Schenkel, R., Suchanek, F., Kasneci, G.: YAWN: A semantically annotated wikipedia xml corpus (March 2007)