基于智能Agent的社区化信息检索系统的研究
发布时间：2018-07-31 20:18
【摘要】： Web给信息检索带来了新的挑战。Web上的信息量快速增长,同时不断有毫无经验的新用户来体验Web这门艺术。人们喜欢用超级链接来网上冲浪,通常都是由一些重要的网页或搜索引擎开始。而基于关键词的自动搜索引擎通常返回太多的低质量的匹配。更糟的是,一些广告为了赢得人们的关注想方设法误导自动搜索引擎。 个性化服务是解决以上问题的有效途径,而具有个性化和互动性特征的社区化代表了搜索引擎发展的新方向,同时具有良好的适应性和学习特性的Agent技术因为融合了人工智能(AI)技术,是目前个性化主动服务研究中的热点和前沿,智能Agent可以从用户的日常行为中进行学习,了解用户的兴趣,动态的修改用户兴趣模型,自主的在Internet上漫游,收集用户感兴趣的信息,通过PUSH技术,主动向用户提供个性化的服务,这就提高了搜索引擎的快速性、准确性、自主性、灵活性和智能性。 伴随着Web2.0的兴起,“个性化”除了体现在用户对搜索内容差异需求外,用户对“互动性”的渴求可看作是“个性化”的另一个层面的体现。作为互动的搜索方式,“社区化搜索”帮助用户获得其他用户所保存的同主题相关内容,使得用户既是搜索内容的使用者,又是搜索内容的创造者。 本文从信息检索用户的角度出发,针对信息过载的问题提出了一种智能信息检索系统的构造方案,它在目前已有的搜索引擎的基础上进行改进,能够学习用户的兴趣、爱好和特性,细化搜索结果,屏蔽掉无用的信息,并能够主动帮助用户获取信息,利用“社区化”来提供互动性服务,实现互联网信息的及时获取、主动呈现,方便用户使用,节约用户的时间和精力。
[Abstract]:Web brings new challenges to information retrieval. The amount of information on the web grows rapidly, and there are new users who have no experience to experience the art of Web. People like to use hyperlinks to surf the web, usually starting with important web pages or search engines. Keyword-based automatic search engines often return too many low-quality matches. To make matters worse, some ads try to mislead automated search engines in order to win attention. Personalized service is an effective way to solve the above problems, and the community with personalized and interactive characteristics represents the new direction of search engine development. At the same time, the Agent technology, which has good adaptability and learning characteristics, is the hotspot and front line in the research of personalized active service because of the integration of artificial intelligence (AI) technology. Intelligent Agent can be learned from the daily behavior of users. Understand user's interest, modify user's interest model dynamically, roam independently on Internet, collect information that user is interested in, offer individualized service to user actively through PUSH technology, this has improved the speed of search engine. Accuracy, autonomy, flexibility and intelligence. With the rise of Web2.0, "personalization" can be seen as another aspect of "personalization" besides the different demand for search content. As an interactive search method, "community search" helps users to obtain relevant content of the same subject that other users save, which makes users be both users and creators of search content. In this paper, from the point of view of information retrieval users, an intelligent information retrieval system is proposed to solve the problem of information overload. It is improved on the basis of existing search engines and can learn the interests of users. Hobbies and features, refinement of search results, screening of useless information, and can actively help users to obtain information, use "community" to provide interactive services, to achieve timely access to Internet information, active presentation, easy for users to use, Save the user's time and energy.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2007
【分类号】：TP391.3
本文编号：2156718
[Abstract]:Web brings new challenges to information retrieval. The amount of information on the web grows rapidly, and there are new users who have no experience to experience the art of Web. People like to use hyperlinks to surf the web, usually starting with important web pages or search engines. Keyword-based automatic search engines often return too many low-quality matches. To make matters worse, some ads try to mislead automated search engines in order to win attention. Personalized service is an effective way to solve the above problems, and the community with personalized and interactive characteristics represents the new direction of search engine development. At the same time, the Agent technology, which has good adaptability and learning characteristics, is the hotspot and front line in the research of personalized active service because of the integration of artificial intelligence (AI) technology. Intelligent Agent can be learned from the daily behavior of users. Understand user's interest, modify user's interest model dynamically, roam independently on Internet, collect information that user is interested in, offer individualized service to user actively through PUSH technology, this has improved the speed of search engine. Accuracy, autonomy, flexibility and intelligence. With the rise of Web2.0, "personalization" can be seen as another aspect of "personalization" besides the different demand for search content. As an interactive search method, "community search" helps users to obtain relevant content of the same subject that other users save, which makes users be both users and creators of search content. In this paper, from the point of view of information retrieval users, an intelligent information retrieval system is proposed to solve the problem of information overload. It is improved on the basis of existing search engines and can learn the interests of users. Hobbies and features, refinement of search results, screening of useless information, and can actively help users to obtain information, use "community" to provide interactive services, to achieve timely access to Internet information, active presentation, easy for users to use, Save the user's time and energy.
【学位授予单位】：大连海事大学
【学位级别】：硕士
【学位授予年份】：2007
【分类号】：TP391.3
【引证文献】
相关硕士学位论文 前1条
1 岳沙沙;基于Agent技术的网络商务信息存储及检索研究[D];北京化工大学;2011年
，本文编号：2156718
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