Study Of MBA Education Resource Search Engine Based On PageRank

With the rapid development of network technology,WWW has become the information,interactive and access tools.It relates to news,advertising,consumer, finance,education,e-commerce and many other fields.People who search data from these massive data and information frequently use search engine technology.In this paper,the network information needs and characteristics of MBA education,from the point of view personalized search results,teaching resources on the personalized search engines have been a feature of planning.As the user base and teaching resource library continue to grow,how to understand the human needs of the user's query,as accurately as possible to return the connotation and extension of query results.Through analysis and research personalized search engine,after master user information we analysis. After new users search new key word,we can return more targeted search results, thereby enhancing the user experience,which is that search engine research should be made to address the problem under the existing conditions.This article also examined the teaching resources search engine in the Web Mining Application.Web mining is divided into Web content mining,Web usage mining and Web structure mining.This article mainly examined contents of the first two studies. Structure mining derive knowledge from WWW organizational structure,Web document structure and link relationship.On the field of search engine technology,it set up its own Web link structure model through the analysis of the number and targets of a web page or the entire web link and linked,can guide the web link structural optimization,improve organized and planly the page rank in the search results,avoid the confusion results by blindly the results of treatment through analysis and researching through ranking algorithms in search results based on the link structure.In this paper,the mainstream view is the current PageRank algorithm,the paper focuses on the influence of calculation method and the web link structure of the PageRank values.It analysis the algorithm effect in an independent website,including inbound links and outbound links,such as several models.It also poses optimization PageRank algorithm strategy.By summing up some problems of PageRank,it poses the improved optimization PageRank algorithm against the drift phenomenon and its verified.Finally its major task is that MBA educational resource personalization search engine system design.