挖掘用户简档支持开放社会网络中的结构和解释
Mining User Profiles to Support Structure and Explanation in Open Social Networking
摘要：
媒体共享和社交网络网站的激增带来了大量特定于网站的用户生成的内容。其结果是社会网络鸿沟，其中的概念和结构共同在不同的网站被隐藏。来自一个社交网站的知识和结构没有得到充分利用，以向可比社交网站中的相同或不同用户提供新的信息和资源。对于音乐博客来说，这种潜在的结构迫使博客作者选择次优的博客文章。然而，通过整合音乐博主和听众的社交活动，我们能够克服这一限制：在相似性方面，使用曲目时提高了85%的blogroll社区的质量，而整合来自另一个网站的标签时提高了120%。
英文摘要：
The proliferation of media sharing and social networking websites has brought with it vast collections of site-specific user generated content. The result is a Social Networking Divide in which the concepts and structure common across different sites are hidden. The knowledge and structures from one social site are not adequately exploited to provide new information and resources to the same or different users in comparable social sites. For music bloggers, this latent structure, forces bloggers to select sub-optimal blogrolls. However, by integrating the social activities of music bloggers and listeners, we are able to overcome this limitation: improving the quality of the blogroll neighborhoods, in terms of similarity, by 85 percent when using tracks and by 120 percent when integrating tags from another site.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
