Categorizing blogger's interests based on short snippets of blog posts

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Blogs have become an important medium for people to express opinions and share information on the web. Predicting the interests of bloggers can be beneficial for information retrieval and knowledge discovery in the blogosphere. In this paper, we propose a two-layer classification model to categorize the interests of bloggers based on a set of short snippets collected from their blog posts. Experiments were conducted on a list of bloggers collected from blog directories, with their snippets collected from Google Blog Search. The results show that the proposed method is robust to errors in the lower level and achieve satisfactory performance in categorizing blogger's interests.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Pages1525-1526
Number of pages2
DOIs
StatePublished - Dec 1 2008
Event17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA, United States
Duration: Oct 26 2008Oct 30 2008

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other17th ACM Conference on Information and Knowledge Management, CIKM'08
CountryUnited States
CityNapa Valley, CA
Period10/26/0810/30/08

Fingerprint

Blogs
Information share
World Wide Web
Blogosphere
Google
Information retrieval
Knowledge discovery
Experiment

Keywords

  • Blogger
  • Categorization
  • Interests

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Decision Sciences(all)

Cite this

Liu, J., Birnbaum, L. A., & Pardo, B. A. (2008). Categorizing blogger's interests based on short snippets of blog posts. In Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08 (pp. 1525-1526). (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1458082.1458368
Liu, Jiahui ; Birnbaum, Lawrence A ; Pardo, Bryan A. / Categorizing blogger's interests based on short snippets of blog posts. Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08. 2008. pp. 1525-1526 (International Conference on Information and Knowledge Management, Proceedings).
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Liu, J, Birnbaum, LA & Pardo, BA 2008, Categorizing blogger's interests based on short snippets of blog posts. in Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08. International Conference on Information and Knowledge Management, Proceedings, pp. 1525-1526, 17th ACM Conference on Information and Knowledge Management, CIKM'08, Napa Valley, CA, United States, 10/26/08. https://doi.org/10.1145/1458082.1458368

Categorizing blogger's interests based on short snippets of blog posts. / Liu, Jiahui; Birnbaum, Lawrence A; Pardo, Bryan A.

Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08. 2008. p. 1525-1526 (International Conference on Information and Knowledge Management, Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AU - Birnbaum, Lawrence A

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N2 - Blogs have become an important medium for people to express opinions and share information on the web. Predicting the interests of bloggers can be beneficial for information retrieval and knowledge discovery in the blogosphere. In this paper, we propose a two-layer classification model to categorize the interests of bloggers based on a set of short snippets collected from their blog posts. Experiments were conducted on a list of bloggers collected from blog directories, with their snippets collected from Google Blog Search. The results show that the proposed method is robust to errors in the lower level and achieve satisfactory performance in categorizing blogger's interests.

AB - Blogs have become an important medium for people to express opinions and share information on the web. Predicting the interests of bloggers can be beneficial for information retrieval and knowledge discovery in the blogosphere. In this paper, we propose a two-layer classification model to categorize the interests of bloggers based on a set of short snippets collected from their blog posts. Experiments were conducted on a list of bloggers collected from blog directories, with their snippets collected from Google Blog Search. The results show that the proposed method is robust to errors in the lower level and achieve satisfactory performance in categorizing blogger's interests.

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Liu J, Birnbaum LA, Pardo BA. Categorizing blogger's interests based on short snippets of blog posts. In Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08. 2008. p. 1525-1526. (International Conference on Information and Knowledge Management, Proceedings). https://doi.org/10.1145/1458082.1458368