Research on Answerer Recommending Method Based on Online Learning Community

Based on the recommendation of answerers in online learning community, this paper proposes a question answerer recommendation algorithm based on the Interest, specific-length and Attention. The matching degree between the answerer and the question is evaluated from three dimensions, and the appropriate answerer is recommended to the questioner according to the evaluation result. Finally, according to the data set design related experiments, the experimental results show that the proposed method in this paper is effective.