The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Searching Distributed Collections With Inference Networks
Abstract
The use of information retrieval systems in networked environments raises a new set of issues that have received little attention. These issues include ranking document collections for relevance to a query, selecting the best set of collections from a ranked list, and merging the document rankings that are returned from a set of collections. This paper describes methods of addressing each issue in the inference network model, discusses their implementation in the INQUERY system, and presents experimental results demonstrating their effectiveness.
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Citations
Cites
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Evaluation of an inference network-based retrieval model
Turtle, H. R., & Croft, W. B. (1991) · ACM Transactions on Information Systems · doi:10.1145/125187.125188 · Cited by 581
Self-citationCallan, J. P., Croft, W. B., & Harding, S. M. (1992) · Database and Expert Systems Applications · doi:10.1007/978-3-7091-7557-6_14 · Cited by 522
Self-citationRASMUSSEN, E. M. (1992) · Information Retrieval · Cited by 323
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The effectiveness of GIOSS for the text database discovery problem
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The second text REtrieval conference (TREC-2)
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Turtle, H. R., & Croft, W. B. (1991) · Cited by 74
Self-citationInformation retrieval systems for large document collections
Moffat, A., & Zobel, J. (1994) · Cited by 46
Cited by
Query-based sampling of text databases
Callan, J., & Connell, M. (2001) · ACM Transactions on Information Systems · doi:10.1145/382979.383040 · Cited by 368
Self-citationA performance evaluation of gradient field HOG descriptor for sketch based image retrieval
Hu, R., & Collomosse, J. (2013) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2013.02.005 · Cited by 353
PlanetP: using gossiping to build content addressable peer-to-peer information sharing communities
Cuenca-Acuna, F. M., Peery, C., Martin, R. P., & Nguyen, T. D. (2004) · High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on · doi:10.1109/hpdc.2003.1210033 · Cited by 300
Mining query logs: turning search usage data into knowledge
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Metadata
- Authors
- Callan, J. P., Lu, Z., & Croft, W. B.
- Venue
- ACM SIGIR Forum
- Published
- 2017-08-02
- Volume
- 51
- Issue
- 2
- Pages
- 160-167
- ISSN
- 0163-5840 (ISSN-L)
- OpenAlex
- W2086253379
- Cited by
- 608
- References
- 9
- FWCI
- 11.21
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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