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Following the rapid development of Internet, Search Engine technology brews a great innovation: search engine technology would be more intelligent, search resource would be broader, search mode would be more agile, specific search would be more abundant, and receiving terminal would become smart mobile devices.

随着互联网络的迅猛发展，搜索引擎技术也在酝酿着一场重大的变革：搜索技术将更加智能化，搜索资源将更加广泛，搜索方式将更加便捷，专项搜索将更加丰富，接受终端也将向移动设备发展。

From the distinction of perpendicular search and current search, can explain the immediate cause that perpendicular search is sued simply: Current search is it is with the webpage most subsection, and perpendicular search is with structuralization data is most subsection.

从垂直搜索和通用搜索的区别上，可以简单解释垂直搜索受到起诉的直接原因：通用搜索是以网页为最小单位，而垂直搜索是以结构化数据为最小单位。

Firstly, the paper expatiates the essence principle of the motion estimation based block matching, introduces Full Search method and several typical motion estimation fast algorithms, and analyzes each characteristic, then to sum up the key technology for increasing the motion estimation search efficiency; Secondly, it stress introduces three motion estimation fast improved algorithms: the improved algorithm based Full Search method, it imports successive elimination algorithm、subsample and termination condition to increase search speed for enhancing the real time of Full Search.

本文首先阐述了基于块匹配法的运动估计基本原理，介绍了全搜索法和几种典型的运动估计快速算法，分析了各算法的特点，在此基础上总结了提高运动估计搜索效率的几个关键技术。接着重点介绍了本文提出的三种运动估计快速改进算法。基于全搜索的改进算法，是在全搜索的基础上尝试引入了连续排除算法、子抽样和终止条件来提高搜索速度，增强全搜索的实时性。

On the base of the search model"s analyze, this article analyze and discuss the principle and implement of the fashion Search Engine"s several technology, for example Innernet"s Building, Chinese Syncopate, Auto-Briers Building, the Search Result"s Rank and Several Level Intellective Search Agent.Now, full-text search is a mature technology. Its searchs the all and the one is success. But its accuracy is lack. In fact, the two technologies(Chinese Syncopate and Auto-Briers Building) should be broke through. To Chinese Syncopate, this paper brings forward a new technology that the partial adjust will be brought into effect after the Chinese is syncopated and the notional document brief is put forward to Auto-Briefs Building.

本文在对检索模型分析的基础上，重点对当前流行的搜索引擎中的几大技术(知识库的建立、中文切分、自动文摘的生成、检索结果的排序、多级智能检索代理的实现)的原理、实现进行了分析和探讨；目前，全文本搜索技术作为一种比较成熟的技术，其查全率方面已经做得比较好，但它的查询精度确有待进一步提高，究其原因是："中文切分"和"自动文摘的生成"这二项技术有待突破，本文中，对"中文切分"提出了切分算法加局部调整技术，对"自动文摘的生成"提出了"概念化的文档摘要"，以期能够起到抛砖引玉的作用。

Patent Search provides the Patent Search in our legal search engine ,this is it's ;It also provides the general Search Listings,including CIPO - Canadian Patents Database,Patent Search Forms,United States Patent and Trademark Office .

专利搜索引擎提供了其法律资源网站的站内专利搜索结果，这也是其特色搜索结果；网站提供了一般的专利搜索列表，包括加拿大专利数据库、Delphion专利搜索和美国专利商标局等网站。

The main works of this paper include four points as follows:(1) Patent retrieval domain ontology is designed through analyzing the common concepts in searching patent information. And the international patent classification table is expressed using ontology;(2) Design users'interests model from the information actively provided by users and passively provided by system based on users'requirements and historical searching record;(3) Design and implement three patent retrieval modes: quick search, table search, and advance search to meet various users'demands. And combine ontology, user's interest model and the inputed retrieval condition when users search for patent informations. This realizes individualized retrieval which meets the demands of users;(4) When users's search term is inaccurate, the precision will drop markedly and users will receive many disrelated informations.

本文的主要工作包括以下四点：(1)通过分析专利检索的常用概念，设计了专利检索领域本体和国际专利分类表(International Patent Classification，IPC)的本体表示；(2)根据用户的需求以及历史检索记录，从用户主动提供和系统被动学习两方面着手，设计了用户兴趣模型的本体表示；(3)为满足不同层次、不同需求的用户，设计并实现了三种专利检索方式：快速检索、表格检索、高级检索，并将本体、用户兴趣模型、用户输入的检索条件三者相结合，实现满足用户需求的个性化检索；(4)通过设计将检索结果按IPC号分类，由用户自主选择需要浏览的类别来为用户提供个性化服务。

A new crossover operator is proposed to keep goad genes and enhance the search performance. Local search mechanism is added into GA to find solutions for TA problems with a more rapid convergence speed. Simulated annealing is used to overcome the problem of local optimum. A heuristically greedy local search is also proposed to improve the search efficiency. The simulation results show that the improved algorithm can improve the search efficiency of GA.

构造了适合于目标分配问题的染色体；设计了搜索性能较好且能够保留优秀基因的交叉操作方法；将局部搜索机制引入标准遗传算法，提高了目标分配算法的收敛速度；把模拟退火算法引入局部搜索问题，在一定程度上避免了局部最优问题；将贪婪算法应用于局部搜索提高了最优分配方案的搜索效率。

However, the search engines often return a large number of search results, which may be irrelated to user needs. A good search engine is always make sure that the results of the user wanted is to be ranked in the top pages, so how the search results desired by the user to sort the information received and displayed to the user has been the focus of the study search engine.

用户在使用搜索引擎时，总是希望在前面几页就能找到自己所需要的信息，但是由于网络资源丰富，用户检索时，搜索引擎经常返回大量的搜索结果，这些结果可能与用户需要的信息相关，也可能无关。

This article in trying to apply the full—featured text search engine to network in company.Firstly, we introduce the technical background of enterprise search engine which is based on Lucene and the basic concept of search engine; then we analysis mainly on the key tech of search engine such as reptile moudle, index moudle, Chinese particle moudle and text-drawing moudle after we analysis and practise the original code of Lucence; and then we design this enterprise search engine, get it through the test and make a summary finally.

本文首先介绍了基于Lucene的企业搜索引擎的技术背景，以及搜索引擎的基本概念；接下来通过对Lucene源码的剖析，深入理解Lucene的系统组织结构、数据流走向；对搜索引擎的关键技术如爬虫模块、索引模块、中文分词模块、文本提取模块等进行了重点的技术分析和设计；进而设计了一个基于Lucene的企业搜索引擎系统；最后对搜索引擎系统进行了测试和总结。

AQMC algorithm progresses in the nondifferentiable optimization. First, we develop the local search such that the search direction, search radius and number of search points are adjusted according to the previous search result.

首先改进了局部搜索算法，使得搜索方向，搜索半径和搜索所计算的函数值个数根据已有的搜索结果而自适应调整。

We got alerted a couple of times while we were down south that HETs were on the way to bring us back up north because things were going to go hot again, but it was just rumors.

南下的途中我们不只一次得到警告说重型装备运输车将拉着我们重新北上，因为局势正在变得重新紧张起来，但这只是谣传。

It's the one where they find the ghost in the salt mine.

这一集是演他们在盐矿找到鬼