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Knowledge Sharing

A social recommender mechanism for improving knowledge sharing in online forums

Nowadays, online forums have become a useful tool for knowledge management in Webbased 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.

Nowadays, online forums have become a useful tool for knowledge management in Webbased 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.

By: Yung-Ming Li, Tzu-Fong Liao, and Cheng-Yang Lai

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This Post Has 4 Comments

  1. eebest8 back

    “Great info. Lucky me I ran across your site by chance (stumbleupon). I’ve book-marked it for later!”

  2. DaleNMikeska

    Awesome article.

  3. ChasWLanfair

    Hi there! Do you use Twitter? I’d like to follow you if that would be okay.
    I’m definitely enjoying your blog and look forward to new posts.

    1. editor

      Hi! You can follow us @Trouvus

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