Combining reputation and content-based filtering for blog article recommendation in social bookmarking websites

Chi Chieh Peng*, Duen-Ren Liu

*Corresponding author for this work

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

2 Scopus citations

Abstract

The new generation of web-based communities, Web2.0, represents an innovative spirit in sharing and managing contents. Social bookmarking is a portal for users to share, organize, search, and manage bookmarks of web resources. However, with the rapid growth of web documents that are produced every day, people are facing the problem of information overload. The Social bookmarking web site provides the push (user recommendation) counts of articles indicating the recommended popularity degrees of articles. In this paper, we propose to derive the popularity degree of an article by considering the reputation of users that push the article. Moreover, we propose a personalized blog article recommendation approach, which combines the reputation-based popularity with content based filtering, to recommend popular blog articles to users that satisfy their personal preferences. Our experimental results show that the proposed approach outperforms conventional approaches.

Original languageEnglish
Title of host publicationICEC 2010 - Proceedings of the 12th International Conference on Electronic Commerce
Subtitle of host publicationRoadmap for the Future of Electronic Business
Pages8-14
Number of pages7
DOIs
StatePublished - 1 Dec 2010
Event12th International Conference on Electronic Commerce, ICEC 2010 - Honolulu, HI, United States
Duration: 2 Aug 20104 Aug 2010

Publication series

NameACM International Conference Proceeding Series

Conference

Conference12th International Conference on Electronic Commerce, ICEC 2010
CountryUnited States
CityHonolulu, HI
Period2/08/104/08/10

Keywords

  • Blog
  • Clustering
  • Content-based filtering
  • Recommender system
  • Reputation system
  • Social bookmarking
  • Web2.0

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    Peng, C. C., & Liu, D-R. (2010). Combining reputation and content-based filtering for blog article recommendation in social bookmarking websites. In ICEC 2010 - Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business (pp. 8-14). (ACM International Conference Proceeding Series). https://doi.org/10.1145/2389376.2389379