元搜索引擎

• In this paper we first discuss how to set up and real time update the interests model , then focus on how to use the interests model to optimize the search results
  本文详细论述了建立兴趣模型和实时更新兴趣模型的相关方法，以及如何利用兴趣模型对元搜索引擎的检索结果进行优化处理。
• Study comparatively wholly the domain knowledge of information agent involves , and introduce in detail information filtering , interest learning , and some technologies of meta - searching engine
  比较全面地研究了信息agent所涉及的领域知识，对信息过滤，兴趣学习，元搜索引擎技术进行了详细的介绍。
• Through a uniform interface , meta search engine help users select appropriate single search engine , then arrange the search results , at last offer the results to users
  元搜索引擎通过一个统一界面，帮助用户选择和利用合适的搜索引擎来实现检索操作，并将所有检索结果按某种策略集中起来以统一的格式呈现在用户面前。
• Meta - search engine provide unique search interface , it accept query terms from users , sent it to several search engines for query and then collect the search results of every search engine to users
  元搜索引擎提供用户统一的查询界面，用户输入查询条件后调用多个搜索引擎同时进行查询，同时将各个搜索引擎的返回结果合并返回给用户。
• Thirdly we talk about the architecture of meta - searchengine of this whole system and description of functional modules . lastly , we analyse the most important implementation details in the actual process of meta - searchengine system
  然后介绍了j2ee及其在系统中的应用,接下来较详细地介绍了元搜索引擎系统的体系结构、系统整体工作流程以及各个功能模块描述。
• According to the service orientation and request analysis of the smsbms system , we designed the whole structure of the system and divide the system into five modules : ( 1 ) the meta search engine module to obtains system data
  针对smsbms系统的服务定位和需求分析,我们对系统进行了整体结构设计,把它划分为五个模块。其中( 1 )元搜索引擎模块用来获取系统数据。
• The metasearch engine is the exactly technique that can meet the needs , which adopts the query ability of these existing search engines , and regards them as a unity , and provids users with an uniform interface and the returning
  元搜索引擎正是这种需求的产物：它利用现有的搜索引擎的查询性能，将它们看成一个整体，为用户体提供统一的查询界面与返回结果。
• However , " lowest - common - denominator " phenomenon that always reduces advantages of meta search engine is prevailing in them now . the reason is that their target source search engines are heterogeneous and hard to integrate effectively
  但是，目前存在的元搜索引擎普遍的存在“最低常用分母( lowest - common - denominator ) ”现象，这种现象削弱了元搜索引擎的优势。
• If wish to get relatively full - scale , accurate search results , multi - search engines should be used , so in this background meta search engine occurs , which comes forth the development of the search engine
  如果想得到相对全面，准确的搜索结果，必须同时使用多个搜索引擎，在这样的背景下便产生了元搜索引擎，因此可以说元搜索引擎是搜索引擎技术发展到一定程度的产物。
• Through the gradual study , agent can realize user ' s interesting and constitute interests model , with witch to filtrate and arrange the search results , therefore users will be more satisfied with the results
  通过agent的逐步学习，了解用户兴趣之所在，并以此为依据对元搜索引擎的检索结果进行过滤、合成和排序，这样经过优化处理后的检索结果必然能够更好地满足要求。