The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Query evaluation: Strategies and optimizations
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Citations
Cites
Introduction to Modern Information Retrieval
Salton, G., & McGill, M. J. (1983) · Virtual Defense Library (Ministerio de Defensa) · Cited by 9,680
Introduction to modern information retrieval
Dillon, M. (1983) · Information Processing & Management · doi:10.1016/0306-4573(83)90062-6 · Cited by 5,909
Information Retrieval: Data Structures and Algorithms
Frakes, W. B., & Baeza-Yates, R. A. (1992) · Cited by 2,393
Query evaluation techniques for large databases
Graefe, G. (1993) · ACM Computing Surveys · doi:10.1145/152610.152611 · Cited by 1,262
Information retrieval, computational and theoretical aspects
Heaps, H. S. (1978) · CERN Document Server (European Organization for Nuclear Research) · Cited by 598
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-citationWitten, I. H. (1994) · Cited by 428
Approaches to passage retrieval in full text information systems
Salton, G., Allan, J., & Buckley, C. (1993) · Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '93 · doi:10.1145/160688.160693 · Cited by 384
The use of phrases and structured queries in information retrieval
Croft, W. B., Turtle, H. R., & Lewis, D. D. (1991) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/122860.122864 · Cited by 262
Self-citation
Cited by
Inverted files for text search engines
Zobel, J., & Moffat, A. (2006) · ACM Computing Surveys · doi:10.1145/1132956.1132959 · Cited by 1,081
Efficient query evaluation using a two-level retrieval process
Broder, A. Z., Carmel, D., Herscovici, M., Soffer, A., & Zien, J. (2003) · Proceedings of the twelfth international conference on Information and knowledge management · doi:10.1145/956863.956944 · Cited by 407
Mining query logs: turning search usage data into knowledge
Silvestri, F. (2009) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000013 · Cited by 194
Estimating search engine index size variability: a 9-year longitudinal study
van den Bosch, A., Bogers, T., & de Kunder, M. (2016) · Scientometrics · doi:10.1007/s11192-016-1863-z · Cited by 77
Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search
Boytsov, L., Novak, D., Malkov, Y., & Nyberg, E. (2016) · Proceedings of the 25th ACM International on Conference on Information and Knowledge Management · doi:10.1145/2983323.2983815 · Cited by 50
Metadata
- Authors
- Turtle, H., & Flood, J.
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 1995-11
- Volume
- 31
- Issue
- 6
- Pages
- 831-850
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W2065472179
- Cited by
- 305
- References
- 18
- FWCI
- 19.61
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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- CoChat. (2026). Citation check: Query evaluation: Strategies and optimizations. https://app.cochat.ai/papers/10.1016/0306-4573(95)00020-h
- The paper
- Turtle, H., & Flood, J. (1995). Query evaluation: Strategies and optimizations. Information Processing & Management. https://doi.org/10.1016/0306-4573(95)00020-h
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
