Web page browsing route optimizing method and system thereof

Abstract

The invention provides a web page browsing route optimizing method and system. The method includes the following steps that according to the types of web pages that a user browsed, each web page is marked with a web page code and the web pages of the same type are marked with the same webpage code; a skipping track of the web pages that the user browsed is recorded and the web page codes are used for expressing the skipping track; according to the skipping track when the user browsed the web pages, the skipping probability of the web pages of the same type is calculated; according to the skipping probability of the web pages of the same type, the browsing route of a target web page is obtained through analysis. The web page browsing route optimizing method is used for optimizing a web structure of a web site, so that the web site is more adaptable for browsing habits of the user.

Description

technical field [0001] The invention relates to the field of computer browsers, in particular to a method and system for optimizing a web page browsing path. Background technique [0002] At present, vertical small and medium-sized e-commerce websites will optimize the website structure in order to make browsing as convenient as possible for users and help users improve browsing efficiency. There are many existing optimization tools, and many research institutions have developed their own systems. There are two general optimization methods: [0003] One is the way of offline modification. Use the log files of the website as the basic data, the basic data after data preprocessing, use the pattern analysis to split the user's behavior characteristics, form the user's access pattern, and modify the website structure according to the pattern, such as adding hyperlinks and adjusting hotspots Figure and so on to achieve site topology optimization. [0004] Another way is to mod...

AI Technical Summary

Problems solved by technology

[0007] 1. The larger the website, the more log files will be generated, and the analysis of user behavior patterns will be more time-consuming and inefficient

[0008] 2. Pattern analysis basically adopts the means of association analysis, sequence analysis, and graph analysis. The analyzed results cannot be applied to the actual website. Especially for vertical small and medium-sized e-commerce enterprises

[0009] 3. According to the website log analysis of user behavior to get the idea of ​​website optimization, there are only a few large systems at present, and the application cost of small and medium-sized enterprises is relatively expensive

[0010] 4. According to the previous optimization plan, the effect of website optimization before and after is not intuitive

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