首页> 外文会议>International Conference on Soft Computing and Measurements >Identifying user's of social networks psychological features on the basis of their musical preferences
【24h】

Identifying user's of social networks psychological features on the basis of their musical preferences

机译:根据用户的音乐喜好识别用户的社交网络心理特征

获取原文

摘要

The article is devoted to the methods of identifying the user's of social networks psychological features and construction on these features user's vulnerabilities profile on the basis of the user's audio preferenses on his personal page in social network VK.com. The description of the software that implements these methods is illustrated in this article. The development of the methodology is based on the generalization of studies that are focused on identifying the correlation between user's musical preferences and his psychological features. The implementation of this method and the results of audio recognition software testing are also described in this article.
机译:本文致力于根据社交网络VK.com个人页面上用户的音频偏好,识别社交网络用户心理特征的方法以及在这些特征上构建用户的漏洞特征的方法。本文介绍了实现这些方法的软件的说明。方法的发展基于对研究的概括,这些研究的重点是确定用户的音乐喜好与其心理特征之间的相关性。本文还介绍了该方法的实现以及音频识别软件测试的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号