The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Cluster-based retrieval using language models
Abstract
Previous research on cluster-based retrieval has been inconclusive as to whether it does bring improved retrieval effectiveness over document-based retrieval. Recent developments in the language modeling approach to IR have motivated us to re-examine this problem within this new retrieval framework. We propose two new models for cluster-based retrieval and evaluate them on several TREC collections. We show that cluster-based retrieval can perform consistently across collections of realistic size, and significant improvements over document-based retrieval can be obtained in a fully automatic manner and without relevance information provided by human.
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A Language Modeling Approach to Information Retrieval
Ponte, J. M., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130368 · Cited by 2,503
Self-citationA language modeling approach to information retrieval
Ponte, J. M., & Croft, W. B. (1998) · Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/290941.291008 · Cited by 1,821
Self-citationRelevance-Based Language Models
Lavrenko, V., & Croft, W. B. (2017) · ACM SIGIR Forum · doi:10.1145/3130348.3130376 · Cited by 1,422
Self-citationRelevance based language models
Lavrenko, V., & Croft, W. B. (2001) · Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/383952.383972 · Cited by 1,037
Self-citationA probabilistic model of information retrieval: development and comparative experiments
Sparck Jones, K., Walker, S., & Robertson, S. E. (2000) · Information Processing & Management · doi:10.1016/s0306-4573(00)00015-7 · Cited by 942
Topic Detection and Tracking Pilot Study Final Report
Allan, J., Carbonell, J., Doddington, G. R., Yamron, J., & Yang, Y. (2018) · doi:10.1184/r1/6626252.v1 · Cited by 939
Reexamining the cluster hypothesis: scatter/gather on retrieval results
Hearst, M. A., & Pedersen, J. O. (1996) · Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '96 · doi:10.1145/243199.243216 · Cited by 822
Two decades of statistical language modeling: where do we go from here?
Rosenfeld, R. (2000) · Proceedings of the IEEE · doi:10.1109/5.880083 · Cited by 735
Recent trends in hierarchic document clustering: A critical review
Willett, P. (1988) · Information Processing & Management · doi:10.1016/0306-4573(88)90027-1 · Cited by 705
The use of hierarchic clustering in information retrieval
Jardine, N., & van Rijsbergen, C. J. (1971) · Information Processing & Management · doi:10.1016/0020-0271(71)90051-9 · Cited by 529
Cited by
Aji, A., Wang, Y., Agichtein, E., & Gabrilovich, E. (2010) · Proceedings of the 19th ACM international conference on Information and knowledge management · doi:10.1145/1871437.1871519 · Cited by 24
S3BD: Secure semantic search over encrypted big data in the cloud
Woodworth, J. W., & Amini Salehi, M. (2019) · Concurrency and Computation: Practice and Experience · doi:10.1002/cpe.5050 · Cited by 15
Metadata
- Authors
- Liu, X., & Croft, W. B.
- Venue
- Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
- Publisher
- ACM
- Published
- 2004-07-25
- Pages
- 186-193
- OpenAlex
- W2130395434
- Cited by
- 448
- References
- 20
- FWCI
- 17.95
- Type
- conference paper
- Language
- en
- Open access
- closed
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