摘要
针对目前虚拟协作社区中重视交互行为研究,缺乏协作行为研究的问题,从项目和协作者的角度出发研究社区的标签关系,提出根据协作者与项目的发生关系和项目标签集合获取基于协作者的标签共生信息,并用该共生信息来计算标签之间相似度,然后提出一种新的协作者工作偏好模型。结合协作者工作偏好和标签相似度研究协作者之间的关系,以及协作者与项目之间的关系,预测可能参与项目的协作者,提出协作者推荐算法。通过使用开源社区www.codeplex.com的数据进行实验,并与其他推荐算法进行比较,证明本文提出的推荐算法能较好地应用于协作者推荐。
At present, researches on virtual collaborative community emphasize more on interactive behavior but ignore collaborative behavior. To address this issue, we study the tag relationship from the view oI the project and cooperator, aria obtain me co- operator-based co-occurrence information by the cooperator-project relationship and project tag collection. Then we use this co-oc- currence information to calculate the similarity between tags. Based on these, this paper also introduces the method of measuring the similarity of work preferences between cooperators and calculating the matching degree between cooperators and projects. The acquired information can then be used in cooperator recommendation algorithrn~ Finally, by using the open source community data from www. codeplex, com and comparing with other algorithms, this paper tests and verifies that the proposed recommendation algorithm can well forecast collaborative behavior.
出处
《中国科技论文》
CAS
北大核心
2013年第10期974-980,共7页
China Sciencepaper
基金
国家自然科学基金资助项目(71102111)
关键词
标签相似度
虚拟协作
协作者推荐
开源社区
tag similarity
virtual collaborative
cooperator recommendation
open source community
