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发明授权
CN103945238B 一种基于用户行为的社区探测方法 有权

一种基于用户行为的社区探测方法
摘要：
本发明提出一种基于用户行为的社区探测方法，对现有的方法进行改进。探测方法包括：分析用户的历史播放记录，获取相似的播放行为；将每条记录映射到一个二维平面内，完成数据到单元格的映射；将具有相似播放行为的记录聚合为数据堆，并抽取一部分具有代表性的播放行为作为其播放模式；匹配用户当前的播放行为，判断该行为属于哪一种播放模式，将具有相似播放行为(即：属于同一播放模式)的节点组合起来，以构成社区。通过本方案的实现使得每个数据堆中的记录具有相似的播放行为，更有利于用户之间协同获取视频内容并高效共享本地资源，另外，基于播放模式的聚类使得用户行为的特征描述更加精确，稳定性较高。
摘要（英）：

The invention provides a community detection method based on user behaviors. An existing method is improved. The detection method includes the steps: analyzing historical play records of users and acquiring similar play behaviors; mapping each record into a two-dimensional plane and finishing mapping of data to a cell; aggregating the records with the similar play behaviors into data sets, finishing preliminary clustering and extracting parts of representative play behaviors to serve as play modes of the play behaviors; matching current play behaviors of the users, judging which mode the play behaviors belong to, combining nodes with the similar play behaviors (namely, belonging to the same play mode) together, and finishing secondary clustering to form a community. By the aid of the scheme, the records in each data set have the similar play behaviors, video contents are cooperatively acquired between the users, local resources are efficiently shared, in addition, characteristics of the user behaviors are more accurately described based on clustering of the play modes, and stability is high.

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