中文摘要：

微博是当代社会重要的社交网络，转发是微博的重要功能之一。在以往的用户兴趣话题挖掘研究中并未对用户转发博文的动机作进一步分析，对用户的兴趣转发未有足够重视。针对微博的转发特性，提出一种在原有AT模型的基础上结合兴趣转发来挖掘微博用户兴趣话题的AT-IR模型；并通过对爬取的微博数据集进行实验，该模型在对用户兴趣提取的准确性上优于AT模型，同时该方法对其他主题模型也具有一定扩展性。

英文摘要：

In modern society, the micro-blog is an important social network. Repost is one of the most important features of micro-blog. However, the previous studies should have paid close attention to the motivation of repost and the interest-repost. Aiming at the feature of repost, the paper proposed an AT-IR model which was based on the original AT model tapping the interest-reposting to find the interest of micro-blog users. Besides, by means of crawling the micro-blog experimental data sets, this model is better than the AT model in the aspect of extraction accuracy. In addition, this method has shown the expansibility in the aspect of other subject model.