应用前文提出的搜索引擎模型，本文实现了一个校园保密检查原型系统，对终端主机中保存的可能涉密信息保密检查。
Use the model proposed, we design and implement a campus confidential inspection system, to check the confidential information on the end hosts.
然后，搜索引擎分析所得结果，然后开发一个有关该数据库内容的预测模型。
The search engine then analyzes the results and develops a predictive model of what the database contains.
Compass提供了非常灵活的机制来把领域模型映射到搜索引擎中。
Compass provides a very flexible mechanism for mapping the domain model into the search engine.
另外一个问题是缺少对Lucene的事务控制，把领域模型数据存储到数据库和搜索引擎是有问题的。
Another problem is lack of transactions support in Lucene, making saving the domain model into the database and the search engine problematic.
网站内部的搜索引擎往往用来支持相对狭窄的用户模型通常如下。
A search engine on an organization's website or Intranet is often built to support an overly narrow model of user behavior, which goes something like this.
Compass的主要功能之一就是从应用程序模型到搜索引擎的声明式映射。
One of Compass main features is the ability to have declarative mapping from within the application model into the search engine.
它允许把应用对象的领域模型映射到搜索引擎。
It allows to map the application object domain model into the search engine. The following is an example of the Author class, with OSEM definitions using annotations.
因此，本文根据搜索引擎的使用现状，提出了虚拟信息顾问的模型。
So, we present the model of the VIC system based on the use of the search engine.
该搜索引擎的级别系统使用了新的网络访问模型和级别计算模型，大大降低了搜索引擎对于计算机资源的要求。
The level system uses new model of Web accessing and level computation to build Web level system so that the requirement for computer resources is greatly reduced.
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.
文章主要介绍了基于XML可扩展标记语言搜索引擎技术实现的核心部分——索引数据库的建立和查询，并提出了现行网络环境下的XML搜索引擎模型。
In this paper, the core part of the realization of XML search engine, the query and creation of index database, is introduced, and a search model is given in the environment of current network.
本文分析了国内外搜索引擎检索性能度量的研究状况，提出了一种基于用户路径模型的性能度量方法。
This article deeply analyses the development status of search engine retrieve performance measurement in the native and abroad, then a measurement method based user path model was established.
为克服元搜索引擎查询速度慢、独立性差的缺点，设计了一个元搜索引擎的结果处理模型。
A processing model for the query results obtained by meta-search engines is presented to overcome the low query speed and bad independence of meta-search engines.
最后，本文应用上述模型实现了一个模拟的搜索引擎。
Finally, we construct a simulative search engine with the improved model above.
论文以用户为导向构建层次分析模型，借此对搜索引擎的评价作简要探讨。
According to the users' direction, the paper constructs the hierarchy analyzing model to discuss the evaluation of search engine.
实现该系统时，引入了搜索引擎的架构模型，即网络蜘蛛、索引器和检索器，并且加入了分词和搜索自动提示功能。
In order to implement the system, we introduce the architecture of search engine: web spider, indexer and searcher. We also add the functions of segmentation and the keyword tips.
当一个用户在系统中首次注册时，网络模型使用一个常规的搜索引擎来收集涉及到他(或她)的网络文档。
When a user first registers with the system, it USES a general search engine to retrieve Web documents that mention him or her.
本文接着基于此搜索引擎模型提出了一种新的排序算法。
Then the paper proposes a new ranking algorithm based on the model.
因此如何对个性化的信息需求建立语义匹配模型等等，是未来搜索引擎追求的方向。
Therefore, how to establish the semantic matching model to meet the personalize information needs etc. is the direction of search engine in the future.
实验结果表明，该模型对于建设知识化、智能化的中文搜索引擎是非常有用的。
Experiment results have suggested that this model is very useful for knowledgeable and intelligent Chinese search engine.
作为该项计划的一部分，微软也展示了一种新的商业模型，即只有当人们购买一件产品而非仅仅点击一幅广告时，才向搜索引擎服务商收取广告费。
As part of the program, Microsoft is also unveiling a new business model that allows search marketers to pay for ads only when people buy a product, rather than when they simply click on an ad.
分析总结了现有的基于内容的三维模型检索系统及搜索引擎的典型实例。
The currently available content-based 3d model retrieval systems and search engines are also introduced.
在对第二代搜索引擎分析的基础上，运用向量空间模型，设计并实现了一个完整的可学习用户兴趣并可动态调整的个性化搜索引擎。
The 2nd generation of search engine is analyzed and then a personalized search engine based on SVM(vector space model) that can dynamically learn the interests of users is implemented.
最后，把该算法的离线模型和在线模型统一起来，阐明了算法在搜索引擎排名中的运行机制。
Finally, the offline model and online model of this algorithm were combined to detail the application in ranking of search engine.
最后，把该算法的离线模型和在线模型统一起来，阐明了算法在搜索引擎排名中的运行机制。
Finally, the offline model and online model of this algorithm were combined to detail the application in ranking of search engine.
应用推荐