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Document ontology based personalized filtering system (poster session)

Published: 30 October 2000 Publication History

Abstract

We propose the use of the personalized ontology model to improve the effectiveness of web documents filtering process. One important feature of this model is that by constructing the user specific ontology, web documents can be classified by using the user oriented meta data that reflects the user's view about the documents concept. Another is that by applying the user model to searching the classified documents, we achieved the effective document search performance. To find the user's preference, Bayesian Learner accepts user's interests flow as an input and writes output to users profile. Based on those user profiles, user specific ontologies are constructed to provide efficient search environment.

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Cited By

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  • (2018)A knowledge-based model using ontologies for personalized web information gatheringWeb Intelligence and Agent Systems10.5555/1839537.18395388:3(235-254)Online publication date: 16-Dec-2018
  • (2018)MEMPHISJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2005.05.00752:6(315-331)Online publication date: 29-Dec-2018
  • (2008)The Application and Research of Ontology Construction TechnologyProceedings of the First International Workshop on Knowledge Discovery and Data Mining10.1109/WKDD.2008.108(618-623)Online publication date: 23-Jan-2008
  • Show More Cited By

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Published In

cover image ACM Conferences
MULTIMEDIA '00: Proceedings of the eighth ACM international conference on Multimedia
October 2000
523 pages
ISBN:1581131984
DOI:10.1145/354384
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: 30 October 2000

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Author Tags

  1. document filtering system
  2. ontology
  3. personalized systems
  4. user modeling

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MM00: ACM Multimedia 2000
California, Marina del Rey, USA

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Overall Acceptance Rate 995 of 4,171 submissions, 24%

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Cited By

View all
  • (2018)A knowledge-based model using ontologies for personalized web information gatheringWeb Intelligence and Agent Systems10.5555/1839537.18395388:3(235-254)Online publication date: 16-Dec-2018
  • (2018)MEMPHISJournal of Systems Architecture: the EUROMICRO Journal10.1016/j.sysarc.2005.05.00752:6(315-331)Online publication date: 29-Dec-2018
  • (2008)The Application and Research of Ontology Construction TechnologyProceedings of the First International Workshop on Knowledge Discovery and Data Mining10.1109/WKDD.2008.108(618-623)Online publication date: 23-Jan-2008
  • (2007)Efficient Spam Email Filtering using Adaptive OntologyProceedings of the International Conference on Information Technology10.1109/ITNG.2007.86(249-254)Online publication date: 2-Apr-2007
  • (2007)Construction of Ontology-Based User Model for Web PersonalizationProceedings of the 11th international conference on User Modeling10.1007/978-3-540-73078-1_10(67-76)Online publication date: 25-Jul-2007

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