The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A probabilistic model of information retrieval: development and comparative experiments
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Citations
Cites
THE PROBABILITY RANKING PRINCIPLE IN IR
ROBERTSON, S. E. (1977) · Journal of Documentation · doi:10.1108/eb026647 · Cited by 1,103
Self-citation
Cited by
The probabilistic relevance framework: BM25 and beyond
Robertson, S., & Zaragoza, H. (2009) · Foundations and Trends® in Information Retrieval · doi:10.1561/1500000019 · Cited by 3,374
Self-citationUnderstanding inverse document frequency: on theoretical arguments for IDF
Robertson, S. (2004) · Journal of Documentation · doi:10.1108/00220410410560582 · Cited by 1,541
Self-citationInverted files for text search engines
Zobel, J., & Moffat, A. (2006) · ACM Computing Surveys · doi:10.1145/1132956.1132959 · Cited by 1,081
Novelty and diversity in information retrieval evaluation
Clarke, C. L. A., Kolla, M., Cormack, G. V., Vechtomova, O., Ashkan, A., Büttcher, S., & MacKinnon, I. (2008) · Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1390334.1390446 · Cited by 962
Interpreting TF-IDF term weights as making relevance decisions
Wu, H. C., Luk, R. W. P., Wong, K. F., & Kwok, K. L. (2008) · ACM Transactions on Information Systems · doi:10.1145/1361684.1361686 · Cited by 821
Metadata
- Authors
- Sparck Jones, K., Walker, S., & Robertson, S. E.
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 2000-11
- Volume
- 36
- Issue
- 6
- Pages
- 779-808
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W2153252192
- Cited by
- 942
- References
- 1
- FWCI
- 37.31
- 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.
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- The paper
- Sparck Jones, K., Walker, S., & Robertson, S. E. (2000). A probabilistic model of information retrieval: development and comparative experiments. Information Processing & Management. https://doi.org/10.1016/s0306-4573(00)00015-7
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.
