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Extracting preference terms from web browsing histories excluding pages unrelated to users' interests

Published: 21 March 2011 Publication History

Abstract

Personalization is one of the most significant challenges in the World Wide Web. Extracting preference terms chiefly from Web browsing histories is a first step in personalization. However, a portion of Web pages includes information unrelated to the users' interests, and personalization results would probably be fuzzy owing to such pages. In this paper, we propose an approach to extract preference terms from Web browsing histories, excluding pages unrelated to the users' interests. Our proposed approach mainly consists of two steps. First is a page classification step, utilizing both URL expressions and keyphrase frequencies in the page, in order to eliminate keyphrases derived from pages unrelated to the users' interests. Second is a keyphrase scoring step, exploiting document frequency of terms, in order to obtain preference terms. Our empirical study for 5 participants over a period of 4 weeks reveals that the proposed approach is more effective for the users with specific Web browsing styles.

References

[1]
Eirinaki, M., and Vazirgiannis, M. Web mining for web personalization. ACM Transactions on Internet Technology, 3(1): 1--27, 2003.
[2]
Luzenburger, J., Elbassuoni, S., and Weikum, G. Matching task profiles and user needs in personalized Web search. In Proc. CIKM2008, pages 689--698, 2008.
[3]
Sakurai, S., and Suyama, A. Rule discovery from textual data based on key phrase patterns. In Proc. SAC 2004, pages 606--612, 2004.
[4]
Teevan, J., Dumais, S. T., and Horvitz, E. Personalizing search via automated analysis of interests and activities. In. Proc. SIGIR 2005, pages 449--456, 2005.

Cited By

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  • (2012)Generation of User Interest Ontology Using ID3 Algorithm in the Social WebIT Convergence and Security 201210.1007/978-94-007-5860-5_128(1067-1074)Online publication date: 11-Dec-2012
  • (2011)Semi-automatic Evaluation System for Supporting Term Extraction Application DevelopmentProceedings of the 2011 IEEE Fifth International Conference on Semantic Computing10.1109/ICSC.2011.93(7-12)Online publication date: 18-Sep-2011

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cover image ACM Conferences
SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing
March 2011
1868 pages
ISBN:9781450301138
DOI:10.1145/1982185

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 March 2011

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Author Tags

  1. personalization
  2. preference term
  3. user profile
  4. web page classification

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SAC'11
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SAC'11: The 2011 ACM Symposium on Applied Computing
March 21 - 24, 2011
TaiChung, Taiwan

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

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The 40th ACM/SIGAPP Symposium on Applied Computing
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Cited By

View all
  • (2012)Generation of User Interest Ontology Using ID3 Algorithm in the Social WebIT Convergence and Security 201210.1007/978-94-007-5860-5_128(1067-1074)Online publication date: 11-Dec-2012
  • (2011)Semi-automatic Evaluation System for Supporting Term Extraction Application DevelopmentProceedings of the 2011 IEEE Fifth International Conference on Semantic Computing10.1109/ICSC.2011.93(7-12)Online publication date: 18-Sep-2011

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