分析了浏览行为对用户兴趣的体现。
间接行为是用户兴趣度估计的主要行为来源。
Implicit behaviors are the main source behaviors in the estimation of users' interesting degree.
一用户兴趣配置文件识别一用户感兴趣的主题。
A user interest profile identifies topics of interest to a user.
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.
用户兴趣模型是智能搜索引擎系统中的重要组成部分。
User interest profile is one of the important components of intelligent search engine.
用户兴趣模型的建立和更新是实现智能化搜索的核心。
Creating and updating the user interest model are the key technology of intelligent search.
实验证明，建立用户兴趣模型的方法是合理和有效的。
Experiments results prove that the researching method of building user interest model is reason-able and effective.
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.
一个层次结构用户兴趣模型是一个以单个兴趣向量为节点的树。
A hierarchical user interest model is a tree whose nodes are the single interest vectors.
引入一种挖掘用户兴趣路径的算法，并对其进行有意义的改进。
A user preferred browsing paths algorithm is proposed, and also be meaningful improved.
这使得两者在描述用户兴趣时都表现出片面性，不够准确和贴切。
So, the both of them are one-sided and not exact in depicting user's interests.
我不能控制第三方的收集或使用您的信息以满足针对用户兴趣的广告。
We do not control third parties' collection or use of your information to serve interest-based advertising.
根据用户的访问历史，利用知网建立基于概念关系的用户兴趣森林模型。
According to the users navigation history and the concept relations living in the HowNet, a user interest forest model based on the relative relations of concepts is constructed.
文中提出一种基于关联规则的分类方法，并且将它应用于用户兴趣预测。
The paper presents a method of classification based on association rules and applies the method on the prediction of interests of users.
信息过滤中用户兴趣模型的表示是影响过滤精确度的最重要的因素之一。
The representation of user profile is one of most important factors influencing the precision of information filtering.
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.
为了更精确地识别用户兴趣，作者还提出利用关键路径来构造用户兴趣词集。
To recognize the user's interests exactly, we construct the user's interested words sets from user's key path.
用户兴趣模型的表示是信息过滤中的关键技术，它直接关系到过滤效果的好坏。
The representation of user profile plays an important role in the information filtering, and decides whether filtering will be successful.
对数字化时代的个性化信息服务进行了分析并研究用户兴趣、个体信息需求的差异。
Going on analysing and researching user's interest and difference of demands of individual information to individualized information service of digitized times.
该方法主要利用了用户浏览文献页面的信息，有效地解决了用户兴趣的自适应变化。
This method effectively solves the selfadapting changes of user's interest by using information of viewing literature.
在系统运行初期，由用户指定邮件的类别，系统根据用户的分类建立用户兴趣模型。
In the initial stage of system, user appoints the classification of every mail and system set up a user model according to the classification.
该系统能自适应用户兴趣和信息源的变化，满足用户对网上信息、查询跟踪的需求。
The system can adapt the interest of users and the change of information source in its own way and satisfy users' demand of searching and tracking the information on the networks.
针对用户兴趣和偏好建立用户模型，是整个数字图书馆个性化服务系统中的关键技术。
The establishment of user model, based on the user's interests and hobby, is the key techniques in the individuation-service-system in digital library.
而用户兴趣模型正是用户和兴趣的信息模型，用户兴趣模型直接影响到个性化的信息服务。
Model and the user is interested in the interest of users and the information model, the user interested in a direct impact on the model of personalized information services.
另外，针对目前描述用户兴趣用一元组的向量描述方法，本文提出了新的用户兴趣描述方法。
This paper proposes new methods of describing the users'interests to improve the tuple's vector description of user's interests.
同时，系统能根据用户兴趣模型判断返回结果和用户兴趣的匹配程度，并且实现全文提供功能。
Moreover, the system can measure the match between returned results and user interests based on the user model, and achieve full text supply function.
从而，一种采用高效的学习用户兴趣的学习算法的软件在特定领域的检索引擎中变得越来越重要。
Therefore, it is more and more indis_ pensable to a user agent based an efficiently arithmetic of studying user's interests in the domain-specific search engines.
目前市场中有许多公司制作了社区自己的网址压缩服务，在引起普通用户兴趣之前这些服务主要为开发者服务。
There are a number of efforts in the market to create community-owned URL shorteners, with features serving developers first before the interests of private owners.
目前市场中有许多公司制作了社区自己的网址压缩服务，在引起普通用户兴趣之前这些服务主要为开发者服务。
There are a number of efforts in the market to create community-owned URL shorteners, with features serving developers first before the interests of private owners.
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