Push method based on behavioral pattern multi-dimensional matching push software

Abstract

The invention discloses a push method based on behavioral pattern multi-dimensional matching push software, which comprises the following steps of (1) extracting a feature variable according to user basic feature information; (2) extracting a user psychological feature variable according to a user psychological feature information unit; 3) based on the above feature variables, developing the optimal user matching strategy by using the artificial intelligence technology of a support vector machine unit, a random forest unit and a deep learning unit; (4) dynamically combining the above tools torealize an integrated learning unit, and improving the effectiveness of a model by means of the advantages of various technologies; (5) based on the trained model, evaluating the activity performanceof each user combination, and finally achieving the best team combination. The method can analyze a parameter and an influence index which are most closely related to a speculative parameter, combinesthe combined parameters, and achieves the speculative analysis of the speculative parameter to the utmost extent to improve social effectiveness.

Description

technical field [0001] The invention relates to the technical field of big data analysis software, in particular to a method for pushing software based on multi-dimensional matching of behavior patterns. Background technique [0002] The physical and mental health of teenagers has always been a concern of the Party Central Committee and the government. Teenagers' addiction to online games and social networking has become an unavoidable social problem. It is the core vision of our company to better guide teenagers to spend their free time healthily. After market research and analysis, we found that the vast majority of teenagers do not really like to play games or prefer to socialize online, but lack effective social circles. The real reason why they are addicted to the online world is that they can't find friends to play with during the holidays. [0003] However, the common problem of the current activity platforms in the market is that the quality of the activities is u...

AI Technical Summary

Problems solved by technology

[0003] However, the common problem of the current activity platforms in the market is that the quality of the activities is uneven, and the participants

On the other hand, the existing schemes mainly consider the matching relationship from the perspective of demographics, but the non-soft indicators such as psychological characteristics and interpersonal influence are insufficiently considered; and the existing matching technology mainly considers the static characteristics of users, and seldom considers the users themselves. The dynamic evolution process and the interaction between users