Information push method and big data server based on edge computing and artificial intelligence

Abstract

The embodiment of the present application provides an information push method based on edge computing and artificial intelligence and a big data server. By constructing a conversation node intent list, and obtaining conversation node intent description information according to the conversation node intent list, using the big data conversation node sequence in The target session node and the associated session node that are called in the target session subscription service section and are called according to the business flow of the calling service location construct a session node interest sequence, thereby obtaining the session node interest description information, according to the session node intent description information and session node interest description Information, to obtain the conversational interest degree between the target conversational service object and the associated conversational service object, and push the information accordingly, through the conversational node input information used to characterize the intentional interest degree of various conversational node intentions, to achieve more accurate acquisition The purpose of the interest profile is to improve the accuracy of interest profile acquisition and improve the service matching accuracy of information push.

Description

technical field [0001] This application relates to the field of information push technology, specifically, an information push method based on edge computing and artificial intelligence and a big data server. Background technique [0002] Today, with the rapid development of the mobile Internet, most smart terminal application programs provide message push functions, such as hot news recommendations on news clients, chat message reminders on chat interactive tools, promotional information on e-commerce products, and notification and approval of enterprise applications. process etc. Information push plays an important role in increasing product activity, increasing the utilization rate of functional modules, increasing user stickiness, and improving user retention rate. As a key channel in application operation, the reasonable use of message push can effectively promote the realization of goals. [0003] In related technologies, in the process of data mining and information ...

AI Technical Summary

Problems solved by technology

[0003] In related technologies, in the process of data mining and information push between different users in the application session process page, there is a problem of low accuracy in obtaining interest portraits, resulting in a low degree of service matching in the subsequent information push process. No effective solution has been proposed so far

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