本文關(guān)鍵詞： 信息檢索 用戶(hù)偏好 PageRank算法 搜索引擎　出處：《天津理工大學(xué)》2013年碩士論文　論文類(lèi)型：學(xué)位論文

【摘要】：隨著互聯(lián)網(wǎng)技術(shù)的發(fā)展和日益普及，Web搜索查詢(xún)?yōu)槿藗兲峁┝素S富的信息，便捷的服務(wù)。然而，為了提高服務(wù)的質(zhì)量，如何使互聯(lián)網(wǎng)返回與當(dāng)前用戶(hù)請(qǐng)求更加吻合的結(jié)果，成為目前計(jì)算機(jī)應(yīng)用技術(shù)領(lǐng)域研究的熱點(diǎn)問(wèn)題。在互聯(lián)網(wǎng)的背景下，Web信息檢索系統(tǒng)若能明確當(dāng)前用戶(hù)的興趣偏好以及查詢(xún)意圖，，則其檢索出來(lái)的結(jié)果不僅與用戶(hù)查詢(xún)目的的相關(guān)性極高，而且由于明確用戶(hù)的查詢(xún)主題，對(duì)提高搜索引擎的搜索速度有一定提高。為此，本課題針對(duì)當(dāng)前用戶(hù)的興趣偏好和查詢(xún)主題等熱點(diǎn)問(wèn)題進(jìn)行了研究。 首先，針對(duì)傳統(tǒng)的Web搜索查詢(xún)系統(tǒng)存在的主題偏離、概念模糊等問(wèn)題，提出了基于用戶(hù)反饋的排序優(yōu)化方法，采用與用戶(hù)相關(guān)的反饋信息，優(yōu)化用戶(hù)的查詢(xún)關(guān)鍵詞，起到了降低查詢(xún)?cè)~潛在歧義性的作用。并以此結(jié)果為搜索查詢(xún)的依據(jù)。 其次，針對(duì)當(dāng)前用戶(hù)對(duì)Web搜索查詢(xún)系統(tǒng)的特定服務(wù)需求愈來(lái)愈高的問(wèn)題，提出了基于用戶(hù)查詢(xún)意圖的搜索排序方法，采用馬爾科夫鏈進(jìn)行建模，基于隨機(jī)補(bǔ)足理論將用戶(hù)偏好及查詢(xún)意圖與現(xiàn)有的搜索排序技術(shù)相結(jié)合，改善了搜索系統(tǒng)的查詢(xún)效率，以期滿足用戶(hù)的查詢(xún)需求。 最后，針對(duì)理論知識(shí)研究中存在的問(wèn)題及不足，本文在Lucene開(kāi)發(fā)平臺(tái)下，搭建了基于Heritrix的搜索系統(tǒng)，同時(shí)，基于對(duì)網(wǎng)頁(yè)抓取過(guò)程中的網(wǎng)頁(yè)相關(guān)度、概念、鏈接等關(guān)鍵技術(shù)的分析，結(jié)合文中提出的相關(guān)搜索排序方法，構(gòu)建了Web搜索系統(tǒng)，以期為用戶(hù)提供較高質(zhì)量的信息檢索服務(wù)，并通過(guò)模擬實(shí)驗(yàn)，仿真驗(yàn)證提供對(duì)實(shí)際的搜索系統(tǒng)性能必要的改進(jìn)。
[Abstract]:With the development of Internet technology and the increasing popularity of Web search queries, people are provided with abundant information and convenient services. However, in order to improve the quality of services, how to make the Internet return results that are more consistent with current user requests, It has become a hot issue in the field of computer application technology. In the background of the Internet, if the Web information retrieval system can make clear the current user's interest preference and query intention, The result is not only highly related to the user's query purpose, but also improves the search speed of the search engine because the user's query subject is clear. In this paper, the current user interest preference and query topics are studied. Firstly, aiming at the problems of topic deviation and fuzzy concept in traditional Web search and query system, a ranking optimization method based on user feedback is proposed, which uses feedback information related to users to optimize the query keywords of users. It can reduce the potential ambiguity of query words, and the result is the basis of search query. Secondly, in order to solve the problem that users need more and more special services in Web search and query system, a search sorting method based on user's query intention is proposed, and Markov chain is used to model the system. Based on the random complement theory, the user preference and query intention are combined with the existing search sorting technology to improve the query efficiency of the search system, in order to meet the query needs of users. Finally, aiming at the problems and shortcomings in the research of theoretical knowledge, this paper builds a search system based on Heritrix under the Lucene development platform, meanwhile, based on the relevance of web pages in the process of web page capture, the concept. Based on the analysis of key technologies such as link and the related search sorting method proposed in this paper, a Web search system is constructed in order to provide users with a high quality information retrieval service. Simulation verification provides necessary improvements to the performance of the actual search system.
【學(xué)位授予單位】：天津理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類(lèi)號(hào)】：TP391.3

【引證文獻(xiàn)】

相關(guān)博士學(xué)位論文 前1條

1 史斌;面向語(yǔ)義網(wǎng)的語(yǔ)義搜索引擎關(guān)鍵技術(shù)研究[D];北京工業(yè)大學(xué);2010年

本文編號(hào)：1548663