skip to main content
10.1145/1066677.1066912acmconferencesArticle/Chapter ViewAbstractPublication PagessacConference Proceedingsconference-collections
Article

An information retrieval model using the fuzzy proximity degree of term occurences

Published: 13 March 2005 Publication History

Abstract

Based on the idea that the closer the query terms in a document are, the more relevant this document is, we propose a mathematical model of information retrieval based on a fuzzy proximity degree of term occurences. Our model is able to deal with Boolean queries, but contrary to the traditional extensions of the basic Boolean information retrieval model, it does not explicitly use a proximity operator. A single parameter allows to control the proximity degree required. With conjunctive queries, setting this parameter to low values requires a proximity at the phrase level and with high values, the required proximity can continuously be relaxed to the sentence or paragraph levels. We conducted some experiments and present the results.

References

[1]
R. Baeza-Yates and B. Ribeiro-Neto. Modern Information Retrieval. ACM Press / Addison-Wesley, 1999.
[2]
C. L. A. Clarke, G. V. Cormack, and F. J. Burkowski. Shortest substring ranking (multitext experiments for trec-4). In Harman {4}.
[3]
W. B. Croft. Advances in Information Retrieval, chapter Combining Approaches to Information Retrieval. Kluwer Academic Publishers, 2000.
[4]
D. K. Harman, editor. The Fourth Text REtrieval Conference (TREC-4). Department of Commerce, National Institute of Standards and Technology, 1995.
[5]
D. Hawking and P. Thistlewaite. Proximity operators - so near and yet so far. In Harman {4}.
[6]
S. Jones, S. Walker, M. Gatford, and T. Do. Peeling the onion: Okapi system architecture and software design issues. Journal of documentation, 53:58--68, 1997.
[7]
E. M. Keen. The use of term position devices in ranked output experiments. The Journal of Documentation, 47(1):1--22, 1991.
[8]
E. M. Keen. Some aspects of proximity searching in text retrieval systems. Journal of Information Science, 18:89--98, 1992.
[9]
H. P. Luhn. The automatic creation of literature abstracts. IBM Journal of Research and Development, 2:159--168, 1958.
[10]
S. Miyamoto. Fuzzy Sets in information retrieval and cluster analysis. Kluwer Academic Publishers, 1990.
[11]
Y. Rasolofo and J. Savoy. Term proximity scoring for keyword-based retrieval systems. In 25th European Conference on IR Research, ECIR 2003, number 2633 in LNCS, pages 207--218. Springer, 2003.
[12]
G. Salton and M. J. McGill. Introduction to Modern Information Retrieval. McGraw-Hill International, 1983.

Cited By

View all
  • (2024)Information Retrieval Systems: A Methodological ReviewProceedings of the Future Technologies Conference (FTC) 2024, Volume 310.1007/978-3-031-73125-9_36(572-591)Online publication date: 8-Nov-2024
  • (2023)Promoting Document Relevance Using Query Term Proximity for Exploratory SearchInternational Journal of Information Retrieval Research10.4018/IJIRR.32507213:1(1-22)Online publication date: 11-Jul-2023
  • (2020)AQtpUIR: Adaptive query term proximity based user information retrievalJournal of Information and Optimization Sciences10.1080/02522667.2020.182019041:6(1479-1497)Online publication date: 30-Sep-2020
  • Show More Cited By

Index Terms

  1. An information retrieval model using the fuzzy proximity degree of term occurences

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    SAC '05: Proceedings of the 2005 ACM symposium on Applied computing
    March 2005
    1814 pages
    ISBN:1581139640
    DOI:10.1145/1066677
    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]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 March 2005

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. fuzzy proximity
    2. fuzzy set theory
    3. proximity

    Qualifiers

    • Article

    Conference

    SAC05
    Sponsor:
    SAC05: The 2005 ACM Symposium on Applied Computing
    March 13 - 17, 2005
    New Mexico, Santa Fe

    Acceptance Rates

    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

    Upcoming Conference

    SAC '25
    The 40th ACM/SIGAPP Symposium on Applied Computing
    March 31 - April 4, 2025
    Catania , Italy

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 16 Feb 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Information Retrieval Systems: A Methodological ReviewProceedings of the Future Technologies Conference (FTC) 2024, Volume 310.1007/978-3-031-73125-9_36(572-591)Online publication date: 8-Nov-2024
    • (2023)Promoting Document Relevance Using Query Term Proximity for Exploratory SearchInternational Journal of Information Retrieval Research10.4018/IJIRR.32507213:1(1-22)Online publication date: 11-Jul-2023
    • (2020)AQtpUIR: Adaptive query term proximity based user information retrievalJournal of Information and Optimization Sciences10.1080/02522667.2020.182019041:6(1479-1497)Online publication date: 30-Sep-2020
    • (2020)Placing Query Term Proximity in Search ContextMachine Learning, Image Processing, Network Security and Data Sciences10.1007/978-981-15-6315-7_1(1-16)Online publication date: 15-Jun-2020
    • (2019)Predicting Search Intent Based on In-Search Context for Exploratory SearchInternational Journal of Advanced Pervasive and Ubiquitous Computing10.4018/IJAPUC.201907010411:3(53-75)Online publication date: Jul-2019
    • (2019)Mapping of the vector space model with cognitive skills of the user using fuzzy approachIntelligent Decision Technologies10.3233/IDT-18034912:4(461-469)Online publication date: 14-Jan-2019
    • (2019)Improving Result Diversity Using Query Term Proximity in Exploratory SearchBig Data Analytics10.1007/978-3-030-37188-3_5(67-87)Online publication date: 12-Dec-2019
    • (2017)Relevance Re-ranking Through Proximity Based Term Frequency ModelICT Innovations 201610.1007/978-3-319-68855-8_22(219-229)Online publication date: 12-Oct-2017
    • (2016)An intelligent web search framework for performing efficient retrieval of dataComputers and Electrical Engineering10.1016/j.compeleceng.2016.09.03356:C(289-299)Online publication date: 1-Nov-2016
    • (2014)Modeling Term Associations for Probabilistic Information RetrievalACM Transactions on Information Systems10.1145/259098832:2(1-47)Online publication date: 1-Apr-2014
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media