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Term Weighting in Information Retrieval Using the Term Precision Model

Authors:

C. T. Yu,

K. Lam,

G. SaltonAuthors Info & Claims

Journal of the ACM (JACM), Volume 29, Issue 1

Pages 152 - 170

https://doi.org/10.1145/322290.322300

Published: 01 January 1982 Publication History

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References

[1]

BOOKSTEIN, A., AND SWANSON, D R. Probabilistic models for automattc indexing J Am. Soc. lnf Sa. 25, 5 (Sept.-Oct 1974), 312-318.

Google Scholar

[2]

BOOKSTISIN, A., AND SWANSON, D.R. A decision theoreuc foundation for indexing J Am. Soc. Inf Set 26, I (Jan-Feb. 1975), 45-50

Google Scholar

[3]

CROFT, W.B., AND HARPER, D J Using probabilistic models of document retrieval w~thout relevance reformation, j Doc 85, 4 (Dec 1979), 285-295,

Google Scholar

[4]

HARPER, D.J, AND VAN RIJSBERGEN, C.J. An evaluation of feedback in document rBtneval using cooccurrence data. ~ Doc. 34, 3 (Sept 1978), 189-216.

Google Scholar

[5]

IDE, E, AND SALTON, G.Interactive search strategies and dynamic file orgamzation. In The Smart Retrieval Syaem--Experiments in Automatic Document Processing, G Salton, Ed., Prentice Hall, Englewood ChiTs, N J, 1971, Ch. 18.

Google Scholar

[6]

ROBERTSON, S.E., AND SPARCK JONES, K. Relevance weighting of search terms J ASIS 27, 3 (May- June 1976), 129-146.

Google Scholar

[7]

Rocchio, J.J. JR.Relevance feedback m reformation retrieval In The Smart System--Experiments in Automatic Document Processing, G. Salton, Ed, Prentice Hall, Englewood ChiTs, N J., 1971, Ch 14.

Google Scholar

[8]

SALTON, G Automatic lnformatwn Orgamzation and Remeval McGraw Hill, New York, 1968

Crossref

Google Scholar

[9]

Salton, G, Ed.The Smart Retrieval System---Experiments tn `4utomaOc Document Processmg. Prentice Hall, Englewood Cliffs, N J, 1971.

Crossref

Google Scholar

[10]

SALTON, G. Recent studies of automatic text analysts and document retrieval. J. ACM 20, 2 (April 1973), 258-278.

Crossref

Google Scholar

[11]

SALTON, G, AND LESK, M.E Computer evaluation of indexing and text processing. ~,4 CM 15, 1 (Jan 1968), 8-36

Crossref

Google Scholar

[12]

SALTON, G, AND WALDSTEIN, R H Term relevance weights in on-line reformation retrieval. Inf. Proc Manage 14, l (1978),29-35

Google Scholar

[13]

SALTON, G, AND YAN(I, C,S On the specxficatton of term values m automauc indexing J. Doc. 29, 4 (Dec. 1973), 351-372.

Google Scholar

[14]

SALTON, G., YANG, C.S, AND Yu, C.T Contributions to the theory of indexing Proc 1FIP Congress-74, North Holland, Amsterdam, 1974, pp 584-590.

Google Scholar

[15]

SALTON, G, YANG, C S, AND Yu, C.T A theory of term importance m automatic text analysis J. Am Soc. lnf ScL 26, 1 (Jan.-Feb. 1975), 33--44

Google Scholar

[16]

SPAKCK JONES, K A statistical interpretation of term specaficlty in retrieval J. Doc 28, I (March 1972), 11-21

Google Scholar

[17]

SPARCK JONES, K Experiments m relevance weighting of search terms Infl Proc. Manage 15, 3 (1979), 133-144

Google Scholar

[18]

VAN RIJSBERGEN, C J A theoretical basts for the use of cooccurrence data in lnformauon retrieval J Doc 33, 2 (June 1977), 106-119

Google Scholar

[19]

Yu, C,T Theory of indexing and classification Ph D Dlssertauon, Dep of Computer Soence, Cornell Untv, Ithaca, N Y., 1973

Crossref

Google Scholar

[20]

Yu, C T, LUK, W S, AND CHEUNG, T Y A statistical model for relevance feedback in mformahon retrieval. J ACM 23, 2 (April 1976), 273-286.

Crossref

Google Scholar

[21]

Yu, C T, AND SALTON, G Prectston wetghtmg--An effectwe automattc tndexmg method J ACM 23, 1 (Jan 1976), 76-88

Crossref

Google Scholar

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Curukoglu NOzpinar A(2021)SMOTE-Text: A Modified SMOTE for Turkish Text ClassificationTrends in Data Engineering Methods for Intelligent Systems10.1007/978-3-030-79357-9_9(82-92)Online publication date: 6-Jul-2021
https://doi.org/10.1007/978-3-030-79357-9_9
Gupta YSaini A(2017)A novel Fuzzy-PSO term weighting automatic query expansion approach using combined semantic filteringKnowledge-Based Systems10.1016/j.knosys.2017.09.004136:C(97-120)Online publication date: 15-Nov-2017
https://dl.acm.org/doi/10.1016/j.knosys.2017.09.004
Xu ZWei XLiu YMei LHu CChoo KZhu YSugumaran V(2016)Building the search pattern of web users using conceptual semantic space modelInternational Journal of Web and Grid Services10.1504/IJWGS.2016.07915812:3(328-347)Online publication date: 1-Jan-2016
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Index Terms

Term Weighting in Information Retrieval Using the Term Precision Model
1. Information systems
  1. Information retrieval
    1. Document representation
    2. Search engine architectures and scalability
      1. Search engine indexing

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Published In

Journal of the ACM Volume 29, Issue 1

Jan. 1982

268 pages

ISSN:0004-5411

EISSN:1557-735X

DOI:10.1145/322290

Issue’s Table of Contents

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1982

Published in JACM Volume 29, Issue 1

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Curukoglu NOzpinar A(2021)SMOTE-Text: A Modified SMOTE for Turkish Text ClassificationTrends in Data Engineering Methods for Intelligent Systems10.1007/978-3-030-79357-9_9(82-92)Online publication date: 6-Jul-2021
https://doi.org/10.1007/978-3-030-79357-9_9
Gupta YSaini A(2017)A novel Fuzzy-PSO term weighting automatic query expansion approach using combined semantic filteringKnowledge-Based Systems10.1016/j.knosys.2017.09.004136:C(97-120)Online publication date: 15-Nov-2017
https://dl.acm.org/doi/10.1016/j.knosys.2017.09.004
Xu ZWei XLiu YMei LHu CChoo KZhu YSugumaran V(2016)Building the search pattern of web users using conceptual semantic space modelInternational Journal of Web and Grid Services10.1504/IJWGS.2016.07915812:3(328-347)Online publication date: 1-Jan-2016
https://dl.acm.org/doi/10.1504/IJWGS.2016.079158
Lorenzetti CMaguitman ALeake DMenczer FReichherzer T(2016)Mining for Topics to Suggest Knowledge Model ExtensionsACM Transactions on Knowledge Discovery from Data10.1145/299765711:2(1-30)Online publication date: 3-Dec-2016
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Xu ZChen HYu J(2015)Generating Personalized Web Search Using Semantic ContextThe Scientific World Journal10.1155/2015/4627822015(1-10)Online publication date: 2015
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Yu JGong JLiu F(2011)Generation of Semantic Interactive Environment for Personalized SearchProceedings of the 2011 IEEE 11th International Conference on Computer and Information Technology10.1109/CIT.2011.57(443-448)Online publication date: 31-Aug-2011
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Winkler W(2011)Matching and Record LinkageBusiness Survey Methods10.1002/9781118150504.ch20(353-384)Online publication date: 17-Oct-2011
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Zhao LCallan JHuang JKoudas NJones GWu XCollins-Thompson KAn A(2010)Term necessity predictionProceedings of the 19th ACM international conference on Information and knowledge management10.1145/1871437.1871474(259-268)Online publication date: 26-Oct-2010
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Makrehchi M(2010)Query-relevant document representation for text clustering2010 Fifth International Conference on Digital Information Management (ICDIM)10.1109/ICDIM.2010.5664205(132-138)Online publication date: Jul-2010
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Term weighting for information retrieval based on term's discrimination power

Random walk term weighting for information retrieval

Balancing between over-weighting and under-weighting in supervised term weighting

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