Topic-based web page recommendation using tags

Peng Jing, Dajun Zeng

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

13 Citations (Scopus)

Abstract

Collaborative tagging sites allow users to save and annotate their favorite web contents with tags. These tags provide a novel source of information for collaborative filtering. This paper proposes a probabilistic approach to leverage information embedded in tags to improve the effectiveness of Web page recommendation in a social information management context. In our approach, the probability of a Web page visit by a user is estimated by summing up the relevance of this Web page to this user's tags, and then those pages with the highest probabilities are recommended. Experiments using two real-world collaborative tagging datasets show that our algorithms outperform the common collaborative filtering methods.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
Pages269-271
Number of pages3
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 - Dallas, TX, United States
Duration: Jun 8 2009Jun 11 2009

Other

Other2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009
CountryUnited States
CityDallas, TX
Period6/8/096/11/09

Fingerprint

Websites
Collaborative filtering
Information management
Experiments

Keywords

  • Collaborative filtering
  • Collaborative tagging
  • Probabilistic models
  • Social tag

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

Cite this

Jing, P., & Zeng, D. (2009). Topic-based web page recommendation using tags. In 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009 (pp. 269-271). [5137324] https://doi.org/10.1109/ISI.2009.5137324

Topic-based web page recommendation using tags. / Jing, Peng; Zeng, Dajun.

2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009. 2009. p. 269-271 5137324.

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

Jing, P & Zeng, D 2009, Topic-based web page recommendation using tags. in 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009., 5137324, pp. 269-271, 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009, Dallas, TX, United States, 6/8/09. https://doi.org/10.1109/ISI.2009.5137324
Jing P, Zeng D. Topic-based web page recommendation using tags. In 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009. 2009. p. 269-271. 5137324 https://doi.org/10.1109/ISI.2009.5137324
Jing, Peng ; Zeng, Dajun. / Topic-based web page recommendation using tags. 2009 IEEE International Conference on Intelligence and Security Informatics, ISI 2009. 2009. pp. 269-271
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