The main goal of this study is to investigate how to route a question to some relevant users who have interest in the topic of the question based on users’ topic interest. In order to assess users’ topic interest, archived question-answer pairs in the community were used to identify latent topics in the chosen categories using LDA. Then, these topic models were used to identify users’ topic interest. Furthermore, the topics of newly submitted questions were analyzed using the topic models in order to recommend relevant answerers to the question. This study introduces the process of topic modeling to investigate relevant users based on their topic interest.
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