Research And Application Of User Behavior Based Search Technology

With the rapid development of Web2.0,the Internet data was explosive growth,according to the US Internet data center statistics,more than 90% of the world's data is generated in recent years.In this context,search engine technology has become an important means for people to obtain information.Therefore,how to use the search engine technology to "purify" potential,hidden and valuable information from the massive data and provide it to the user becomes one of the hotspots that more and more scholars pay close attention to and study.Despite the widespread use of search engine technology,it has been found that the quality of the information obtained in the growing Web information can not be guaranteed,and people have to spend a lot of time searching for the information they need.Existing search engine methods only take into account the link between pages,the recall and precision rate can not be guaranteed.In order to allow users to obtain satisfactory information services,we must understand the needs of users,to provide users with effective services.This is the significance of this study.In this paper,we use the knowledge of data mining to analyze the users' behavior deeply,and integrate the mining user's personalization factors into the improvement of the search engine algorithm.The main work of this paper is as follows:Firstly,the knowledge of search engine algorithm and data mining is deeply understood,and the corresponding knowledge reserve is provided for user behavior mining analysis and search engine algorithm improvement.Secondly,this paper makes an in-depth analysis on user behavior information from the aspects of the characteristics of query words submitted by users,the order of returned results and the number of clicks,the time of resident pages,and the depth of web page access.Then,based on the results of user behavior analysis,the traditional algorithm of PageRank search ranking is improved,and U-WPR algorithm is put forward.The algorithm puts the information of user query into the forefront of ranking results,and improves the accuracy of search ranking.Finally,the research results of this project have been done on the flower baskets,and the result of this research has been optimized to improve the accuracy of the search sorting results.