基于客户端及模糊网络代理的个性化搜索引擎的研究

发布时间：2019-02-12 19:57

【摘要】：随着科技的发展，个性化信息检索(Personalize Information Retrieval)作为人工智能的分支得到了快速的发展。伴随着Internet技术的发展和普及，越来越多的用户开始利用搜索引擎来检索自己所需要的信息。尽管搜索引擎技术的发展已经比较成熟，但用户要想准确、快速的检索出自己感兴趣的信息却变得不是那么的容易。因此，个性化搜索引擎的出现，为人们提供了检索服务。首先，本文系统的研究了基于网络代理的个性化搜索引擎中所涉及的关键技术，提出了一种基于客户端及模糊网络代理的信息检索系统模型。该系统由用户代理服务器、搜索引擎代理服务器、排序代理服务器三个模块构成。其次，，介绍的该搜索系统的工作过程：用户通过下载客户端，在个人的PC机上进行安装。每当用户需要检索信息时，通过PC客户端进行输入查询。并将查询的结果通过客户端提供给用户。该客户端主要与模糊网络代理服务器进行交互，信息交换，信息反馈，信息过滤等操作。利用模糊网络构建搜索引擎代理，充分的利用了模糊网络的安全性，智能性，可适应性等特点。模糊网络代理中的排序代理模块根据客户端存储的用户兴趣配置文件来进行检索结果的信息过滤，并将此次用户兴趣及时更新到客户端的配置文件中，最终将检索结果通过客户端呈献给用户。由于每个代理都是基于模糊概念网络的，所以在检索速度上有很大的提升。通过客户端提供的用户配置文件去过滤检索结果，这很大程度上提高了检索结果的准确性。最后，我们在排序代理中应用改进的排序算法去进行结果排序，这提高的搜索引擎的效率。三个模块相互配合，从而实现了个性化、高效率、智能化的搜索引擎。
[Abstract]:With the development of science and technology, personalized information retrieval (Personalize Information Retrieval), as a branch of artificial intelligence, has been developed rapidly. With the development and popularization of Internet technology, more and more users begin to use search engines to retrieve the information they need. Although the development of search engine technology has been more mature, it is not easy for users to retrieve the information they are interested in accurately and quickly. Therefore, the emergence of personalized search engines, for people to provide retrieval services. Firstly, this paper systematically studies the key technologies involved in the personalized search engine based on network agent, and proposes a model of information retrieval system based on client and fuzzy network agent. The system consists of three modules: user proxy server, search engine proxy server and sort proxy server. Secondly, the working process of the search system is introduced: the user downloads the client and installs it on the personal PC machine. Each time the user needs to retrieve information, the input query is made through the PC client. The result of the query is provided to the user through the client. The client mainly interacts with fuzzy network proxy server, information exchange, information feedback, information filtering and so on. Using fuzzy network to construct search engine agent makes full use of the security, intelligence and adaptability of fuzzy network. The sorting agent module in the fuzzy network agent filters the information of the retrieval result according to the user interest profile stored by the client, and updates the user interest to the configuration file of the client in time. Finally, the retrieval results are presented to the user through the client. Because each agent is based on fuzzy concept network, the retrieval speed is greatly improved. The retrieval results are filtered through the user profile provided by the client, which greatly improves the accuracy of the retrieval results. Finally, we use the improved sorting algorithm to sort the results, which improves the efficiency of the search engine. The three modules cooperate with each other to achieve a personalized, efficient and intelligent search engine.
【学位授予单位】：哈尔滨理工大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TP391.3

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