The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Models for retrieval with probabilistic indexing
Overview
The claims and statistics of this paper haven’t been checked yet.
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Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
THE PROBABILITY RANKING PRINCIPLE IN IR
ROBERTSON, S. E. (1977) · Journal of Documentation · doi:10.1108/eb026647 · Cited by 1,103
Cited by
Naive (Bayes) at forty: The independence assumption in information retrieval
Lewis, D. D. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0026666 · Cited by 2,104
A 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
A sequential algorithm for training text classifiers
Lewis, D., & Gale, W. A. (1994) · arXiv (Cornell University) · doi:10.5555/188490.188495 · Cited by 1,731
An information-theoretic perspective of tf–idf measures
Aizawa, A. (2003) · Information Processing & Management · doi:10.1016/s0306-4573(02)00021-3 · Cited by 1,419
A Sequential Algorithm for Training Text Classifiers
Lewis, D. D., & Gale, W. A. (1994) · SIGIR ’94 · doi:10.1007/978-1-4471-2099-5_1 · Cited by 1,208
Metadata
- Authors
- Fuhr, N.
- Venue
- Information Processing & Management
- Publisher
- Elsevier BV
- Published
- 1989-01
- Volume
- 25
- Issue
- 1
- Pages
- 55-72
- ISSN
- 0020-0271 (ISSN-L)
- 0306-4573
- OpenAlex
- W1971666241
- Cited by
- 177
- References
- 1
- FWCI
- 46.96
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Models for retrieval with probabilistic indexing. https://app.cochat.ai/papers/10.1016/0306-4573(89)90091-5
- The paper
- Fuhr, N. (1989). Models for retrieval with probabilistic indexing. Information Processing & Management. https://doi.org/10.1016/0306-4573(89)90091-5
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.
