Information pushing method, system, medium and electronic device

Abstract

The present invention proposes an information push method, system, medium and electronic equipment. In the information push method, the first push factor is obtained according to the target location of the information provider and the user's activity track parameters, and the second push factor is obtained according to the information access parameters. The push factor, combined with the first push factor and the second push factor, determines whether to push the information of the information provider to the user. It not only considers whether the user belongs to the target of the information provider in terms of spatial location through the activity trajectory parameters, but also through the information The access parameter considers whether the user is interested in the information delivered by the information provider, comprehensively considers the objective geographical location conditions and the user's subjective access willingness, and uses two prongs to screen potential customers efficiently and accurately, thereby improving the efficiency of information push and transactions. Contributing rate, avoiding the waste of resources.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to an information push method, system, medium and electronic equipment. Background technique [0002] In the existing information push method, it is usually based on the user's previous search and browsing data to recommend various products or services to users. However, the existing push based on big data has many limitations, such as push efficiency or final transaction. The promotion rate is not high. For example, users often search and browse on a whim, their demand and willingness to purchase a certain product or service are weak, or they have purchased related products or services in a short period of time, but due to the lag of big data And blindness will continue to push relevant information to them, or although users have strong needs and willingness to buy, the place where the product or service is provided is far away from the user, and the objective conditions...

AI Technical Summary

Problems solved by technology

[0002] In the existing information push method, it is usually based on the user's previous search and browsing data to recommend various products or services to users. However, the existing push based on big data has many limitations, such as push efficiency or final transaction. Facilitation rate is not high

For example, users often search and browse on a whim, their demand and purchase intention for a certain product or service are weak, or they have purchased related products or services in a short period of time, but due to the lag of big data And blindness will continue to push relevant information to them, or although users have strong needs and willingness to buy, but the location of the product or service is far away from the user, and the objective conditions are not met, the transaction cannot be facilitated

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