社区问答系统中基于当前兴趣的问题推荐研究

Question Routing in Community Question Answering Based on Current Interest

社区问答系统作为一种新兴的知识分享平台,在帮助用户获取有用信息方面取得了相当大的成功。将用户提出的问题推荐给感兴趣的回答者依然是社区问答平台面临的一个问题。针对兴趣度,已提出了多个表示模型,但这些模型没有考虑兴趣的时间维度。本文提出用TOT主题模型建立备选回答者兴趣的动态变化模型,找出备选回答者的当前兴趣,然后进行问题推荐。实验表明本文提出的方法是有效的。

Community question answering (CQA) has succeeded significantly in accessing useful information as a popular knowledge sharing platform. Recommending users’questions to interested respondents is still a problem facing the community QA platform. For interest degree,several representation models have been proposed,but these models do not consider the time dimension of interest. In this paper,a TOT topic model is proposed to establish a dynamic change model of the interest of candidate respondents,find out the current interest of candidate respondents,and then recommend questions. Experiments show that the proposed method is effective.