The Research On Web Search Engine Optimization Based On Access Behavior Rule Mining

In today's information age,the avalanche development of the Internet has changed people's way of life,work style,learning style and thinking mode,among which Web plays a key role.And more and more businesses are beginning to set up their own home page on the Internet,hoping to gain more attention through online,so as to promote product sales.Therefore,improving the ranking of websites in search engines and getting more attention has become the primary problem for merchants to optimize their website construction.The core function of search engine algorithm is to search the corresponding web page according to the keyword entered by the customer,and show it to the customer in order.In the search engine,to improve the ranking of the site for the value of the site itself and the corresponding business activities,it is of great significance.In the process of sorting pages,search engines have their own rules,such as frequency of keyword occurrences and links to websites.Therefore,under the established rules,the proper collation of the content of the web site and the optimization of the link structure in the website will help to increase the ranking of the search engine.This is also the most common way for most commercial websites or portals to improve the ranking of search engines.Based on this background to jade mall site as an example to carry out search engine optimization,from data preprocessing,mining user access behavior rules and access behavior link optimization based on three aspects of research.First,data preprocessing.Analysis of the source of user behavior data network access,introduces the data cleaning,user identification and data completion of three processing steps.Then,the user browse matrix is formed according to the collected data.Secondly,based on the data mining user access behavior analysis,the Apriori algorithm is used as the mining method of association rules,and the data of user access behavior is analyzed.The mean and variance of the row vectors are used as the parameters to calculate the threshold to implement the pruning of the association rules.Thirdly,the website structure is optimized according to the mining user access behavior association rule.The link structure of the website is changed by adding and deleting links,which provides users with a link structure which is more in line with their usage habits.Finally,this paper uses jade mall as an example for the analysis,the data mining and web structure optimization by using the web site data in September 2016.And collected the website structure optimization after October 2016 user access data statistics results.According to the comparison results,the optimization method proposed in this paper can effectively improve the user's Web site access experience,and at the same time improve the ranking of search engines for the web site.