This study proposes a social recommender system designed to enhance knowledge management within online forums by generating discussion thread and expert recommendations. The system leverages multiple factors including semantic similarity, profession and reliability, social intimacy and popularity, and social network-based Markov Chain (SNMC) models. The comprehensive consideration of these aspects aims to facilitate effective knowledge sharing within forum communities. Experimental results indicate that the proposed recommendation mechanism helps forum users (requesters) find similar discussion threads, thereby reducing redundant discussions (spamming). Furthermore, when qualified discussion threads are not available, the system actively recommends appropriate experts, enhancing the efficiency and effectiveness of knowledge sharing.
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Li, Yung-Ming, Tzu-Fong Liao, and Cheng-Yang Lai. "A social recommender mechanism for improving knowledge sharing in online forums." Information Processing & Management 48.5 (2012): 978-994.
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- JoelR
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