实现用户兴趣模型的更新控制。
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.
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.
开始在视图上使用聚焦模式后，您将注意到兴趣模型如何随着工作而演进。
Once you start using the focused mode on views, you'll notice the way that the interest model evolves as you work.
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.
该文在充分分析WWW缓冲模型的基础上提出了实时二维兴趣模型。
Based on analyzing the WWW Cache model, we bring forward a real time two-dimensional interest model.
该模型不是简单兴趣模型的简单扩充，而是模型和相关算法的全面改进。
This model is not the simple extension of the simple interest model, but the round improvement of the model and its related algorithm.
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.
在上述工作的基础上，设计并实现了基于兴趣模型的个性化信息推荐系统。
On the ground of above work, we designed and implemented a personalized information recommendation system of interest-based model.
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.
这种方法是对传统的协同过滤方法的改进，可以解决传统方法兴趣模型单一问题。
This method can improve the traditional collaborative filtering methods, and can solve the single-interest model problem of traditional methods.
为了对用户提供更优质的推荐，基于用户兴趣模型的推荐系统的效率显得尤为重要。
The efficiency of recommendation system which is based on user interest model is particularly important for the goal of better quality of the recommendation.
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.
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.
研究还表明没有广泛适用的职业兴趣模型，因此，职业兴趣的跨文化研究应深入探讨与验证。
The studies also suggested that no widely applicable model existed, and so cross-cultural studies on vocational interests would continue to be made and deeply validated.
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.
本论文详细分析了个性化搜索技术涉及到的各种模型，包括用户兴趣模型、传统过滤模型和搜索模型。
This thesis is to describe many models involved in the personalized search, including user interest model, classic filtering model and search model.
指出了传统协同过滤方法存在着评分矩阵稀疏、冷启动、易受攻击性、兴趣模型单一和可扩展性等问题。
And point out the problems existed in the traditional collaborative filtering methods: ratings matrix sparsity, cold start, vulnerability, single interest model and scalability issues.
兴趣模型是个性化信息技术中的关键问题，有效地获取用户兴趣信息，能更好地为网络用户提供信息服务。
User's interest model is the key in personal information technology and can provide information service for net user to obtain user's interest.
因此，如何建立高质量的用户兴趣模型，并将其应用于查询结果的优化，是一项具有实际应用价值的研究课题。
Therefore, how to establish high quality user interest model, and use it to optimize the query results is a research subject with practical application value.
论文的第四章经过用户兴趣模型设计、系统分析、系统设计等环节，构建了农业信息智能推送系统，并进行了系统初步实现。
The fourth chapter firstly focuses on system analysis, system design and so on, and then constructs and implements the agriculture information intelligent push sytem.
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.
短期兴趣模型则反映了博客用户最近一段时间的兴趣和关注点，若用户持续关注某个兴趣类，则该兴趣类将转化为用户的长期兴趣。
And the short interest model records the blogger's recent interests. If the blogger CARES about something continuously in a period of time, it will be added into the long interest model.
研究了从HTML编写的网页映射到XML文档的过程，并从中提取符合用户兴趣模型的UCL字段，从而达到网页自动标引的目的。
In order to achieve the computer automatic indexing, we study the mapping process from HTML to XML , and extract the UCL information of fitting for the interesting profile of client users.
该方法通过设计一种客户端的用户兴趣挖掘模型，同时将用户兴趣模型与局部上下文分析方法相结合，克服了局部上下文分析的缺陷。
By mining the user profile in client computer, then combining user profile and traditional LCA, the method could resolve the defect of LCA.
实验结果表明，基于此兴趣模型的网络信息提取系统能对检索结果做出个性化过滤处理，提高用户的查准率和查全率，满足用户的个性化需求。
Extraction of Web Information System filters the retrieval results according to user model and meets user personalized need with raising the accuracy and recall ratios.
本文在综合兴趣模型研究现状的基础上，结合微博数据集对微博用户的特征进行分析，建立微博用户兴趣模型，并提出基于微博用户兴趣模型的发现算法。
Based on the research of user interest model, the feature of weibo user will be analyzed according to the weibo data collection, detection algorithm of weibo user interest model will be proposed.
无论它们是邮票、硬币、卡片、模型车，还是其它任何你感兴趣的东西，这都是了解人和地方的好方法。
Whether they are stamps, coins, cards, model cars, or whatever else interests you, it's a great way to learn about people and places.
您可以简单地通过增加这个程序的代码添加您所感兴趣的模型元素关系。
You can add model element relationships that you're interested in simply by augmenting the code in this routine.
应用推荐