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A similarity-based probability model for latent semantic indexing

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SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval

Pages 58 - 65

https://doi.org/10.1145/312624.312652

Published: 01 August 1999 Publication History

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Arya CDiwakar MSingh PSingh VKadry SKim J(2023)Multi-Document News Web Page Summarization Using Content Extraction and Lexical Chain Based Key Phrase ExtractionMathematics10.3390/math1108176211:8(1762)Online publication date: 7-Apr-2023
https://doi.org/10.3390/math11081762
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A similarity-based probability model for latent semantic indexing

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Published In

SIGIR '99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval

August 1999

339 pages

ISBN:1581130961

DOI:10.1145/312624

Chairmen:
Fredric Gey
Univ. of California
,
Marti Hearst
Univ. of California, Berkeley
,
Richard Tong
Tarragon Consulting Corp.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 1999

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SIGIR99: 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

August 15 - 19, 1999

California, Berkeley, USA

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SIGIR '99 Paper Acceptance Rate 33 of 135 submissions, 24%;

Overall Acceptance Rate 792 of 3,983 submissions, 20%

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https://doi.org/10.3390/math11081762
Bokhari MAdhami MAhmad A(2021)Evaluation of News Search Engines Based On Information Retrieval ModelsOperations Research Forum10.1007/s43069-021-00081-02:3Online publication date: 10-Aug-2021
https://doi.org/10.1007/s43069-021-00081-0
Dhanalakshmi PReddy PGurumurthy SLalitha K(2020)Web User Clustering Techniques for Recommendation SystemsICDSMLA 201910.1007/978-981-15-1420-3_192(1885-1895)Online publication date: 19-May-2020
https://doi.org/10.1007/978-981-15-1420-3_192
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Al‐Qahtani MKatsigiannis SRamzan NImran MGhannam RAbbasi Q(2020)Information Retrieval from Electronic Health RecordsEngineering and Technology for Healthcare10.1002/9781119644316.ch6(117-127)Online publication date: 27-Nov-2020
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Hu WLiu XXing CZhang MMa S(2019)Research on Template-Based Factual Automatic Question Answering TechnologySmart Computing and Communication10.1007/978-3-030-34139-8_37(366-375)Online publication date: 4-Nov-2019
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Raj LMathew L(2016)Context aware multimedia crawler for dynamic encyclopaedia construction2016 International Conference on Computer Communication and Informatics (ICCCI)10.1109/ICCCI.2016.7479957(1-12)Online publication date: Jan-2016
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Sadjirin RNordin NMd Raus MSahri Z(2016)Investigating the Optimise k-Dimensions and Threshold Values of Latent Semantic Indexing Retrieval Performance for Small Malay Language CorpusRegional Conference on Science, Technology and Social Sciences (RCSTSS 2014)10.1007/978-981-10-0534-3_31(325-336)Online publication date: 25-Mar-2016
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