计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 430-436.doi: 10.11896/jsjkx.200500024
李霄, 曲阳, 李辉, 郭世凯
LI Xiao, QU Yang, LI Hui, GUO Shi-kai
摘要： 在线问答平台日益成为互联网用户知识获取的重要途径,随着其用户数量的迅速增长,平台中重要用户的识别难度逐渐增大,用户提出的大量问题也得不到有效回答,严重影响了在线问答平台的用户体验。针对上述问题,将在线问答平台中用户提出问题和回答问题看作一种社交网络行为,并且根据这些行为构建用户关系网络,在此基础上提出了一种基于用户关系网络的用户重要性评估方法,用来识别平台中的重要用户。通过对Stack Overflow数据集的实验分析表明,该方法得出的用户重要性排名与在线问答平台中的实际情况相符合,生成排名结果相对稳定,通过用户重要性排序结果对问题进行推荐可以提高问题回答效率。应用该用户重要性评估方法,设计和开发了一个在线问答平台,案例分析表明该方法能够识别出在线问答平台中的重要用户,可以增强用户知识获取的体验。
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