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Method and device for user insurance behavior prediction

A user and behavior technology, applied in the Internet field, can solve the problems of low efficiency and accuracy of user insurance behavior prediction, achieve the effect of improving prediction efficiency and accuracy, and improving sales success rate and efficiency

Inactive Publication Date: 2018-02-13
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the embodiments of the present invention provide a method and device for predicting user insurance purchase behaviors to solve the problem of the prior art in which insurance business personnel subjectively analyze the insurance products that users may be interested in, which leads to the efficiency of user insurance purchase behavior prediction and The problem of low accuracy

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  • Method and device for user insurance behavior prediction
  • Method and device for user insurance behavior prediction
  • Method and device for user insurance behavior prediction

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Embodiment 1

[0033] figure 1 It is a flow chart of a method for predicting user insurance purchase behavior provided by Embodiment 1 of the present invention. The execution subject of this embodiment of the present invention is a computing device, which may specifically be a server, etc. figure 1 An exemplary method for predicting user insurance purchase behavior may specifically include steps S101 to S104, which are described in detail as follows:

[0034] S101: Obtain characteristic data of a sample user from a user attribute database, wherein the characteristic data includes a behavior type of the sample user and a number of behaviors corresponding to the behavior type, and the behavior type includes a product order type and a website visit type.

[0035] Specifically, the user attribute library can be a big data platform. The user attribute library contains characteristic data of sample users. The characteristic data includes the behavior types of sample users and the number of behavio...

Embodiment 2

[0053] figure 2 It is a flowchart of a method for predicting user insurance purchase behavior provided by Embodiment 2 of the present invention. The execution subject of this embodiment of the present invention is a computing device, which may specifically be a server, etc. figure 2 An exemplary method for predicting user insurance purchase behavior may specifically include steps S201 to S210, which are described in detail as follows:

[0054] S201: Regularly synchronize the basic data of the sample users to the user attribute database, wherein the basic data of the sample users includes network access data and policy data in the insurance management system, and the network access data includes product order information and website access information.

[0055] Specifically, the basic data of the sample user is regularly obtained, and the process of synchronizing the basic data to the user attribute database is as follows: image 3 As shown, it can specifically be completed ...

Embodiment 3

[0127] Figure 4 It is a schematic structural diagram of a device for predicting user insurance application behavior provided by Embodiment 3 of the present invention. For the convenience of description, only the parts related to the embodiment of the present invention are shown. Figure 4 An exemplary device for predicting user insurance application behavior may be the subject of execution of the method for predicting user insurance application behavior provided in the first embodiment. Figure 4 An exemplary device for predicting user insurance purchase behavior includes: an acquisition module 31, a preprocessing module 32, a modeling module 33, a prediction module 34, and a push module 35. The detailed descriptions of each functional module are as follows:

[0128] The obtaining module 31 is used to obtain characteristic data of the sample user from the user attribute library, wherein the characteristic data includes the behavior type of the sample user and the number of ti...

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Abstract

The invention relates to the technical field of internet, and provides a method for user insurance behavior prediction and a calculation device. The method comprises the steps that feature data of a sample user is acquired from a user attribute library; the feature data is preprocessed, noise data is removed, and preprocessed data is obtained; according to the preprocessed data, a learning model is established; based on the learning model, users of the first type to be predicted are subjected to behavior prediction, and a target insurance product of the users of the first type is obtained; theusers of the first type are pushed to users of the second type, so that the users of the first type are determined as target users of the target insurance product by the users of the second type. According to the technical scheme, accurate prediction of the insurance product in which the users are interested is achieved, the prediction efficiency and accuracy of the user insurance behavior are improved, the intelligent prediction level is improved, meanwhile, insurance business personnel can know about potential users with high proportion of insurance product purchase in time, and the sellingsuccess rate and the efficiency of the insurance product are improved.

Description

technical field [0001] The invention belongs to the technical field of the Internet, and in particular relates to a method and a device for predicting a user's insurance purchase behavior. Background technique [0002] At present, when insurance business personnel develop customers, they often need to conduct in-depth communication with customers, or check the historical records of customers' insurance purchases, in order to understand the customer's insurance needs or willingness to purchase insurance, and further through manual analysis on this basis, To determine the insurance products that customers may be interested in, this method leads to low work efficiency and low accuracy, and it is impossible to recommend targeted insurance products to unfamiliar customers, resulting in the inability to effectively increase the transaction volume of insurance products. Contents of the invention [0003] In view of this, the embodiments of the present invention provide a method a...

Claims

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Application Information

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IPC IPC(8): G06Q40/08G06F17/30
CPCG06F16/9535G06Q40/08
Inventor 刘永凡
Owner PING AN TECH (SHENZHEN) CO LTD
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