Artificial intelligence data pushing system and data pushing method for body management

Abstract

The invention discloses an artificial intelligence data pushing system and method for body management. The system comprises an obtaining unit, a matching unit, a merging unit, a pushing unit and a client which are connected with one another. The obtaining unit is used for obtaining label information of user body evaluation, and the label information comprises at least one label and a label keyword set corresponding to each label; the matching unit is used for extracting a query keyword from a corresponding tag keyword set, matching information containing the query keyword in a pre-stored information set as to-be-pushed information so as to generate a to-be-pushed information group, and determining the similarity between the tag information and each piece of information in the to-be-pushed information group; the merging unit is used for merging the generated to-be-pushed information groups to generate a to-be-pushed information set; and the pushing unit selects to-be-pushed information from the to-be-pushed information set based on the similarity as to-be-pushed information, and pushes the to-be-pushed information to a user terminal of the user.

Description

technical field [0001] The invention relates to an artificial intelligence data push system and a data push method for body management. [0002] technical background [0003] In the traditional data system technology for body management, the user usually initiates a request to obtain data information, and then the system compares it with the database according to the user's request to find out the content that the user is interested in, and then returns it to the user. The results show that the main disadvantages are: the push content obtained by the user is relatively single, and the scope of coverage is relatively narrow; the target users of the content cannot be subdivided and classified, and the follow-up business guidance cannot be carried out; the content arrival rate and open rate have no way It is impossible to predict the effect of system functions by doing precise tracking. Contents of the invention [0004] In order to solve the problems in the prior art, the pr...

AI Technical Summary

Problems solved by technology

[0003] In the traditional data system technology for body management, the user usually initiates a request to obtain data information, and then the system compares it with the database according to the user's request to find out the content that the user is interested in, and then returns it to the user. The results show that the main disadvantages are: the push content obtained by the user is relatively single, and the scope of coverage is relatively narrow; the target users of the content cannot be subdivided and classified, and the follow-up business guidance cannot be carried out; the content arrival rate and open rate have no way Accurate tracking, the effect of system functions cannot be predicted

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