Method for classifying, optimizing and analyzing website based on user mental model

Abstract

The invention discloses a method for classifying, optimizing and analyzing a website based on a user mental model. The method comprises the following steps of: firstly preprocessing log data of the website, wherein the log data contains the data relative to a concept of optimizing of a website classified catalogue issued by a user based on cognition of the user on the website classified catalogue, and extracting the concept from the log data by preprocessing; then determining a co-occurrence relation between the concept issued by the user and the concept in the website classified catalogue by a user mental model classification theory, wherein the concept presents a specific name of the website classified catalogue, such as books and daily articles; converting the co-occurrence relation into a co-occurrence matrix; converting the co-occurrence matrix into a similarity matrix by virtue of a pearson coefficient algorithm; and finally carrying out clustering analysis and multi-dimensional dimensional analysis to analyze similarity and spatiality among concepts of the cognition of the user on the website classified catalogue. Due to the adoption of six steps, decision supports can be provided to the optimizing of the website classified catalogue from a quantified angle based on the user mental model of the website.

Description

technical field [0001] The invention relates to a website classification optimization analysis method, in particular to a website classification optimization analysis method based on user mental models. Background technique [0002] The optimization of the website information classification system is based on the evaluation of the existing information classification system of the website, to determine whether it is necessary to adjust the existing information classification system of the website, and to determine how to adjust it if necessary. At present, the research on the optimization method of the website information classification system is still lacking, mainly focusing on the theoretical research on classification basis, standards, principles, etc. In order to find defects, few studies have carried out in-depth exploration with the support of certain theoretical methods. [0003] In his book "The Design of Everyday Things", Norman first proposed that there are three ...

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Problems solved by technology

However, there is no research on the combination of the two for the measurement of users' mental models in website category optimization.

[0005] The current research on website users is still in the traditional user research stage. The user research methods mainly include: scenario method, focus group, usability test, in-depth interview, observation method, etc., but these methods have limitations and can The effective data obtained is very limited, and the cost is high. When using these methods to conduct user surveys, there should not be too many issues involved. Therefore, the information obtained is too macroscopic, and it is difficult to obtain detailed information that is really useful for user behavior research.

[0006] Therefore, there are still some problems in the optimization method of the website classification system: (1) It is difficult to conduct effective user research, and it is difficult to comprehensively collect users' cognition of the website;

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