A method of cross-analyzing user behavior

Abstract

The invention discloses a method for cross-over analysis of a user behavior. The method comprises the following steps: establishing a user database, wherein a plurality of dimensionalities are arranged in the user database and one or more label names are arranged on each dimensionality; collecting and storing use data of multiple users in a user data set in the user database, wherein the user data of each user comprises a user ID and a matched label name of the user on one or more dimensionality; collecting and storing the label data corresponding to each dimensionality in a label set of the use database, wherein each label data comprises a label name and a plurality of user visiting cards matched with the label; presetting a cross-over analysis calculation strategy, calling for the user data set and / or the label set according to the cross-over analysis calculation strategy, and extracting the user data and / or the label data in the user data set and / or the label set; utilizing the cross-over analysis of calculation strategy to perform analysis calculation on the extracted user data and / or label data, thereby acquiring the user behavior data.

Description

Technical field [0001] This application relates to the field of data integration and data optimization, and specifically to a method of cross-analyzing user behavior. Background technique [0002] In the context of the current highly active Internet field, especially in popular sectors such as online video, e-commerce, social platforms, or instant messaging, there is very fierce competition. Internet companies, as providers of Internet services; on the one hand, they are constantly optimizing, improving, and transforming their original businesses to stabilize the existing user groups; on the other hand, they are committed to developing new and more dynamic new Business, in order to keep up with the dynamics of the industry, to obtain more new users and attention. In the final analysis, the key to attracting users is to provide a better user experience than competitors. [0003] On this basis, if you want to continuously improve the user experience, a full understanding of user ps...

AI Technical Summary

Problems solved by technology

It can be seen that the defect of the existing technology is that the collection range of user behavior data is not wide enough, and the number of samples is small, so the space for analysis is very limited; especially in today's big data environment, the resource of "user behavior" has not been realized. Take advantage of

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