Learning to recommend questions based on user ratings

  title={Learning to recommend questions based on user ratings},
  author={Ke Sun and Yunbo Cao and Xinying Song and Young-In Song and Xiaolong Wang and Chin-Yew Lin},
At community question answering services, users are usually encouraged to rate questions by votes. The questions with the most votes are then recommended and ranked on the top when users browse questions by category. As users are not obligated to rate questions, usually only a small proportion of questions eventually gets rating. Thus, in this paper, we are concerned with learning to recommend questions from user ratings of a limited size. To overcome the data sparsity, we propose to utilize… CONTINUE READING
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