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分析社交网站中个性化推荐的Twitter简介中的时间动态

Analyzing Temporal Dynamics in Twitter Profiles for Personalized Recommendations in the Social Web
课程网址: http://videolectures.net/acmwebsci2011_abel_social/  
主讲教师: Fabian Abel
开课单位: 德国汉诺威大学
开课时间: 2011-07-19
课程语种: 英语
中文简介:
社交网络描述了一种新的网络参与文化,越来越多的人积极参与到网络内容的发布和组织中。作为这种选择的一部分,人们在通过社交网络系统与他人互动时,会留下各种各样的痕迹。在本文中,我们研究了从社交网络互动中推断个人兴趣问题的用户建模策略。我们特别分析了Twitter上的个人微博活动。我们比较了基于用户发布的Twitter消息创建用户无产者的不同策略,并研究了这些无产者如何随时间变化。此外,我们还评价了个性化推荐系统中用户建模策略的质量,并表明那些考虑单个无产者的时间动态的策略可以获得最佳的性能。
课程简介: Social Web describes a new culture of participation on the Web where more and more people actively participate in publishing and organizing Web content. As part of this cul- ture, people leave a variety of traces when interacting with (other people via) Social Web systems. In this paper, we investigate user modeling strategies for inferring personal interest pro les from Social Web interactions. In particular, we analyze individual micro-blogging activities on Twitter. We compare di erent strategies for creating user pro les based on the Twitter messages a user has published and study how these pro les change over time. Moreover, we evaluate the quality of the user modeling strategies in the context of personalized recommender systems and show that those strategies which consider the temporal dynamics of the individual pro les allow for the best performance.
关 键 词: 社交网站; 个性化推荐; Twitter; 时间动态
课程来源: 视频讲座网
最后编审: 2019-11-02:lxf
阅读次数: 39