Product data pushing method and system based on big data and computer equipment

Abstract

The embodiment of the invention provides a product data pushing method based on big data. The method comprises the steps that object information and object information dynamic transaction informationof a target object are acquired; according to the product purchase time node in each part of target product information, obtaining a historical coefficient associated with each part of target productinformation from the mapping table; inputting the plurality of parts of target product information and the historical coefficient associated with each part of target product information into a portrait model, and obtaining a label coefficient of a preset label of the target object through the portrait model; and determining a target object category of the target object according to the label coefficient, and pushing product data to the target object according to the target object category. According to the embodiment of the invention, the label coefficient of the preset label of each target object can be accurately evaluated to improve the product data pushing efficiency and pushing accuracy, so that the data sending destination is effectively controlled, the invalid sending frequency of the data is reduced, and the communication overhead and the data sending amount of the sending end are saved.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer data processing, and in particular to a big data-based product data push method, system, computer equipment, and computer-readable storage medium. Background technique [0002] As people's awareness of insurance gradually increases, commercial insurance has become an important part of the current social security system. At this stage, commercial insurance products are pushed through the means of relying on the agents to accurately capture the real needs of customers in a short period of time, and push suitable insurance products to customers, which often highly depends on the experience and language sensitivity of online agents. Agent resources are consumed, and transactions are often not facilitated due to insufficient business capabilities of agents. In the face of an increasingly large customer base, insurers need to consider at least two points: 1. Service resources must be t...

AI Technical Summary

Problems solved by technology

At this stage, the product push method of commercial insurance is to rely on agents to accurately capture the real needs of customers in a short period of time, and push suitable insurance products to customers, which often highly depends on the experience and language sensitivity of online agents. Agent resources are consumed, and transactions are often not facilitated due to insufficient business capabilities of agents

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