用户兴趣建模是互联网个性化信息服务的关键技术。
User modeling is one of the crucial techniques of personalized information service.
本文中，提出一种基于加权概念网络的用户兴趣建模方法。
In this paper, we propose a new approach for user modeling based on Weighted Concept Network.
为了体现词条之间的关系，更好地为用户提供个性化服务，提出了在语义网络下对用户兴趣建模的思想。
To embody the relations between terms and provide a better personalized service for the (user,) the idea of constructing the user interest model under the semantic network is proposed.
在现阶段还没有一种很好的方法来解决中文分词的问题，本文将会提出一种面向用户兴趣建模的中文分词方法。
Now there isn't a good enough method to solve the problem of character compartmentation. In this paper, a method to solve the problem of character compartmentation is proposed.
分析了现有的自动用户建模方法，提出基于用户兴趣聚类进行自动用户建模。
After analyzing the current automatic user modeling approaches, automatic modeling based on user interests clustering is proposed.
但是，目前的用户建模技术普遍存在模型表示缺乏语义、兴趣获取困难和模型难以进化等缺点。
At present, user modeling has some shortcomings such as lack of semantic in user model representation, difficulty in user interest acquisition and user model evolution.
利用该方法可以对WWW缓冲中的网页文档和文档集合进行统一建模，这为利用用户历史兴趣信息和进行兴趣匹配提供了便利。
By this method, the web page and the set of web pages in the WWW cache can be modeled conformably, by which the history interest and matching the interest can be easily used.
本文针对博客的特点，提出并实现了一种面向博客用户的个性化建模方法，分别建立博客用户的长期兴趣模型和短期兴趣模型。
This paper has put forward and implemented a personalized blogger modeling method that establishes a long interest model and a short interest model for every blogger.
实验结果表明，本文提出的基于主题建模的问题推荐方法可有效挖掘用户兴趣，从而推荐待解决问题。
The experimental results show our topic-modeling based question recommendation approach can capture users' preference and recommend questions effectively.
实验结果表明，本文提出的基于主题建模的问题推荐方法可有效挖掘用户兴趣，从而推荐待解决问题。
The experimental results show our topic-modeling based question recommendation approach can capture users' preference and recommend questions effectively.
应用推荐