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Document filtering method using non-relevant information profile

Authors:

Keiichiro Hoashi,

Kazunori Matsumoto,

Naomi Inoue,

Kazuo HashimotoAuthors Info & Claims

SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval

Pages 176 - 183

https://doi.org/10.1145/345508.345573

Published: 01 July 2000 Publication History

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Abstract

Document filtering is a task to retrieve documents relevant to a user's profile from a flow of documents. Generally, filtering systems calculate the similarity between the profile and each incoming document, and retrieve documents with similarity higher than a threshold. However, many systems set a relatively high threshold to reduce retrieval of non-relevant documents, which results in the ignorance of many relevant documents. In this paper, we propose the use of a non-relevant information profile to reduce the mistaken retrieval of non-relevant documents. Results from experiments show that this filter has successfully rejected a sufficient number of non-relevant documents, resulting in an improvement of filtering performance.

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Cited By

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Eke CNorman AShuib LNweke H(2019)A Survey of User Profiling: State-of-the-Art, Challenges, and SolutionsIEEE Access10.1109/ACCESS.2019.29442437(144907-144924)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2944243
Amigó EGonzalo JVerdejo FSpina D(2019)A comparison of filtering evaluation metrics based on formal constraintsInformation Retrieval Journal10.1007/s10791-019-09355-y22:6(581-619)Online publication date: 1-Apr-2019
https://doi.org/10.1007/s10791-019-09355-y
Zagheli HAriannezhad MShakery A(2017)Negative Feedback in the Language Modeling Framework for Text RecommendationAdvances in Information Retrieval10.1007/978-3-319-56608-5_63(662-668)Online publication date: 8-Apr-2017
https://doi.org/10.1007/978-3-319-56608-5_63
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Index Terms

Document filtering method using non-relevant information profile
1. Information systems
  1. Information retrieval
  2. World Wide Web
    1. Web searching and information discovery
      1. Personalization

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Information & Contributors

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Published In

SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval

July 2000

396 pages

ISBN:1581132263

DOI:10.1145/345508

Chairmen:
Emmanuel Yannakoudakis
Athens Univ. of Economics and Business, Greece
,
Nicholas J. Belkin
Rutgers Univ.
,
Mun-Kew Leong
Kent Ridge Digital Labs
,
Peter Ingwersen
Royal School of Library and Information Science

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 July 2000

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SIGIR00

Sponsor:

Greek Com Soc
SIGIR
Athens U of Econ & Business

SIGIR00: 23rd ACM International SIGIR Conference on Research and Development in Information Retrieval

July 24 - 28, 2000

Athens, Greece

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

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Cited By

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Eke CNorman AShuib LNweke H(2019)A Survey of User Profiling: State-of-the-Art, Challenges, and SolutionsIEEE Access10.1109/ACCESS.2019.29442437(144907-144924)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2944243
Amigó EGonzalo JVerdejo FSpina D(2019)A comparison of filtering evaluation metrics based on formal constraintsInformation Retrieval Journal10.1007/s10791-019-09355-y22:6(581-619)Online publication date: 1-Apr-2019
https://doi.org/10.1007/s10791-019-09355-y
Zagheli HAriannezhad MShakery A(2017)Negative Feedback in the Language Modeling Framework for Text RecommendationAdvances in Information Retrieval10.1007/978-3-319-56608-5_63(662-668)Online publication date: 8-Apr-2017
https://doi.org/10.1007/978-3-319-56608-5_63
Gao QFu DDong X(2016)A Context-Aware Mobile User Behavior-Based Neighbor Finding Approach for Preference Profile ConstructionSensors10.3390/s1602014316:2(143)Online publication date: 23-Jan-2016
https://doi.org/10.3390/s16020143
Palacio DCabanac GHubert GPinel-Sauvagnat KSallaberry C(2013)Prototyping a personalized contextual retrieval frameworkProceedings of the 7th Workshop on Geographic Information Retrieval10.1145/2533888.2533935(43-44)Online publication date: 5-Nov-2013
https://dl.acm.org/doi/10.1145/2533888.2533935
Chevalier MJulien CSoulé-Dupuy C(2012)User Models for Adaptive Information Retrieval on the WebInternational Journal of Adaptive, Resilient and Autonomic Systems10.4018/jaras.20120701013:3(1-19)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.4018/jaras.2012070101
Amigó EGonzalo JVerdejo F(2011)A comparison of evaluation metrics for document filteringProceedings of the Second international conference on Multilingual and multimodal information access evaluation10.5555/2045274.2045282(38-49)Online publication date: 19-Sep-2011
https://dl.acm.org/doi/10.5555/2045274.2045282
Wu I(2011)Toward supporting information‐seeking and retrieval activities based on evolving topic‐needsJournal of Documentation10.1108/0022041111112457867:3(525-561)Online publication date: 26-Apr-2011
https://doi.org/10.1108/00220411111124578
Amigó EGonzalo JVerdejo F(2011)A Comparison of Evaluation Metrics for Document FilteringMultilingual and Multimodal Information Access Evaluation10.1007/978-3-642-23708-9_6(38-49)Online publication date: 2011
https://doi.org/10.1007/978-3-642-23708-9_6
Hattori GMatsumoto KOno CTakishima Y(2010)Identification of malicious web pages for crawling based on network-related attributes of web server2010 4th International Universal Communication Symposium10.1109/IUCS.2010.5666254(355-361)Online publication date: Oct-2010
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