The DOI matches its Crossref record.
A language modeling approach to information retrieval
Abstract
Article A language modeling approach to information retrieval Share on Authors: Jay M. Ponte Computer Science Department, University of Massachusetts, Amherst Computer Science Department, University of Massachusetts, AmherstView Profile , W. Bruce Croft Computer Science Department, University of Massachusetts, Amherst Computer Science Department, University of Massachusetts, AmherstView Profile Authors Info & Claims SIGIR '98: Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrievalAugust 1998 Pages 275–281https://doi.org/10.1145/290941.291008Online:01 August 1998Publication History 1,592citation7,260DownloadsMetricsTotal Citations1,592Total Downloads7,260Last 12 Months258Last 6 weeks34 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
IR's foundational work provided explicit accounts of relevance and retrieval models derived from them, giving later researchers clear assumptions to test and extend.
“Its foundational work provided explicit accounts of relevance and retrieval models derived from them [45, 48, 49, 51], giving later researchers clear assumptions to test and extend.”
From Agentic Memory Management Is the Next Frontier of Information Retrieval (2026) · cites this paper as [45]
Li and Croft 2003 introduced time-based language models as an extension of Ponte and Croft 1998 to favor documents created in recent time.
“they introduced the notion of time-based language models as an extension of work proposed by [Ponte and Croft 1998] to favor documents created in recent time.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Ponte and Croft 1998
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 22
- 10.1002/asi.4630250505 · DOI
- Byrd , D. Personal Communication . 1998 . Byrd, D. Personal Communication. 1998.
- 10.1108/eb026683 · DOI
- 10.1016/0306-4573(89)90091-5 · DOI
- 10.1214/aos/1176346143 · DOI
- 10.2307/2341080 · DOI
- Harter , S. P. " A Probabilistic Approach to Automatic Keyword Indexing " Journal of the American Society for Information Science , July-August , 1975 . Harter, S. P. "A Probabilistic Approach to Automatic Keyword Indexing" Journal of the American Society for Information Science, July-August, 1975.
- Kalt , T. " A New Probabilistic Model of Text Classification and Retrieval", CIIR Tech . Report No. 78 , 1996 . Kalt, T. "A New Probabilistic Model of Text Classification and Retrieval", CIIR Tech. Report No. 78, 1996.
- 10.1145/243199.243266 · DOI
- 10.1016/0306-4573(93)90005-X · DOI
- 10.1214/aoms/1177704472 · DOI
- 10.5555/188490.188561 · DOI
- Ponte , J. M. and W. B. Croft . " Text Segmentation by Topic," in Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries , 1997 . Ponte, J. M. and W. B. Croft. "Text Segmentation by Topic," in Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries, 1997.
- Robertson , S. E. and K. Sparck Jones . " Relevance Weighting Of Search Terms ," Journal of the American Society for Information Science , vol. 27 , 1977 . Robertson, S. E. and K. Sparck Jones. "Relevance Weighting Of Search Terms," Journal of the American Society for Information Science, vol. 27, 1977.
- Salton , G. Automatic Text Processing . Addison Wesley , 1989 . Salton, G. Automatic Text Processing. Addison Wesley, 1989.
- Silverman , B. W. Density Estimation for Statistics and Data Analysis Chapman and Hall , 1986 . Silverman, B. W. Density Estimation for Statistics and Data Analysis Chapman and Hall, 1986.
- Terrell , G. R. and D. W. Scott . " Oversmoothed Nonparametric Density Estimators " Journal of the American Statistical Association. Vol. 3 , Number 389, 1985 . Terrell, G. R. and D. W. Scott. "Oversmoothed Nonparametric Density Estimators" Journal of the American Statistical Association. Vol. 3, Number 389, 1985.
- Titterington , D. M. , U. E. Makov and A. F. M Smith . Statistical Analysis of Finite Mixture Distributions John Wiley and Sons , 1985 . Titterington, D. M., U. E. Makov and A. F. M Smith. Statistical Analysis of Finite Mixture Distributions John Wiley and Sons, 1985.
- Turtle H. and W. B. Croft . " Efficient Probabilistic Inference for Text Retrieval ," Proceedings of RIAO 3 , 1991 . Turtle H. and W. B. Croft. "Efficient Probabilistic Inference for Text Retrieval," Proceedings of RIAO 3, 1991.
- 10.1016/0306-4573(89)90090-3 · DOI
- Yamron J. "Topic Detection and Tracking Segmentation Task" In proceedings of The Topic Detection and Tracking Workshop Oct. 1997. Yamron J. "Topic Detection and Tracking Segmentation Task" In proceedings of The Topic Detection and Tracking Workshop Oct. 1997.
- Zelen , M. and N. Severo . " Probability Functions" Handbook of Mathematical Functions . M. Abramowitz and I. A. Stegun ed. National Bureau of Standards Applied Mathematics Series No . 55. 1964 . Zelen, M. and N. Severo. "Probability Functions" Handbook of Mathematical Functions. M. Abramowitz and I. A. Stegun ed. National Bureau of Standards Applied Mathematics Series No. 55. 1964.
Cited by
Sorted by citations
Survey of Temporal Information Retrieval and Related Applications
Campos, R., Dias, G., Jorge, A. M., & Jatowt, A. (2015) · ACM Computing Surveys · doi:10.1145/2619088 · Cited by 262
Asymptotic analysis for personalized Web search
Volkovich, Y., & Litvak, N. (2010) · Advances in Applied Probability · doi:10.1239/aap/1275055243 · Cited by 69
Metadata
- Authors
- Ponte, J. M., & Croft, W. B.
- Affiliations
- University of Massachusetts Amherst (US)
- ORCID
- Croft, W. Bruce
- Venue
- Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
- Publisher
- ACM
- Published
- 1998-08
- Pages
- 275-281
- OpenAlex
- W4206765718
- Cited by
- 1,821
- References
- 0
- Citations by year
- 2026: 14 · 2025: 13 · 2024: 33 · 2023: 31 · 2022: 47 · 2021: 69 · 2020: 49 · 2019: 66 · 2018: 87 · 2017: 91 · 2016: 113 · 2015: 114 · 2014: 92 · 2013: 94 · 2012: 116
- FWCI
- 8.26
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (publishedVersion)
- Funders
- U.S. Department of Commerce
- Advanced Research Projects Agency
- Topics
- Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
- Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
- Physical Sciences › Mathematics › Theoretical Computer Science › Algorithms and Data Compression
- Keywords
- language modeling, information retrieval, retrieval models, probabilistic retrieval
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review