A social recommender mechanism for improving knowledge sharing in online forums

Yung-Ming Li*, Tzu Fong Liao, Cheng Yang Lai

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

Nowadays, online forums have become a useful tool for knowledge management in Web-based technology. This study proposes a social recommender system which generates discussion thread and expert recommendations based on semantic similarity, profession and reliability, social intimacy and popularity, and social network-based Markov Chain (SNMC) models for knowledge sharing in online forum communities. The advantage of the proposed mechanism is its relatively comprehensive consideration of the aspects of knowledge sharing. Accordingly, results of our experiments show that with the support of the proposed recommendation mechanism, requesters in forums can easily find similar discussion threads to avoid spamming the same discussion. In addition, if the requesters cannot find qualified discussion threads, this mechanism provides a relatively efficient and active way to find the appropriate experts.

Original languageEnglish
Pages (from-to)978-994
Number of pages17
JournalInformation Processing and Management
Volume48
Issue number5
DOIs
StatePublished - 1 Sep 2012

Keywords

  • Expert finding
  • Knowledge sharing
  • Online forums
  • Recommender systems
  • Semantic analysis
  • Social relation

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