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Research of Recommendation Algorithm Based on Q&A Forum of Online Learning

Junmin Ye 1, Qiang Wang 1, Zhifeng Wang 2, and Rong Zhao 2
1. School of Computing, Central China Normal University, Wuhan, China
2. School of Educational Information Technology, Central China Normal University, Wuhan, China
Abstract—The forums have become the most general ways for people to study and communicate nowadays, and both the level of users’ interactions and the efficiency of solving problems will influence the effect of users’ learning on the forums. In this paper, in order to solve the problems that how to find users who have similar tastes and interests rapidly and how to get a quick answer when users have agent questions, a framework has been proposed to apply the recommendation technology to the forums. For the empirical research, the data from an authentic forum is used, and finally we find that this recommendation technology can do improve the forum’s service efficiency and it is not only useful for reality uses of forum system but also provide research references on how to improve the use efficiency of form
 
Index Terms—forum question and answer analysis, learning analysis, recommendation technology, data mining

Cite: Junmin Ye, Qiang Wang, Zhifeng Wang, and Rong Zhao, "Research of Recommendation Algorithm Based on Q&A Forum of Online Learning," International Journal of Learning and Teaching, Vol. 4, No. 3, pp. 170-177, September 2018. doi: 10.18178/ijlt.4.3.170-177
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