Data processing method and system, computer system, and readable storage medium

A data processing and historical data technology, applied in the computer field, can solve problems such as poor timeliness, high cost, and inapplicability to various financial product application scenarios, and achieve the goal of overcoming high costs, reducing costs, and saving time and labor costs Effect

Inactive Publication Date: 2018-12-25
JINGDONG TECH HLDG CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional classification modeling method may eventually achieve a relatively good positioning effect, but a complete modeling process has a certain time cost and resource cost, and the timeliness is poor; and different products need to be modeled separately, for example, insurance pull Both new and new funds need to screen the corresponding training set and related features for modeling. However, financial products are divided into var

Method used

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  • Data processing method and system, computer system, and readable storage medium
  • Data processing method and system, computer system, and readable storage medium
  • Data processing method and system, computer system, and readable storage medium

Examples

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Embodiment Construction

[0037] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. It should be understood, however, that these descriptions are exemplary only, and are not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present disclosure.

[0038] The terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting of the present disclosure. The terms "comprising", "comprising", etc. used herein indicate the presence of stated features, ...

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PUM

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Abstract

The present invention provdes a data processing method including acquiring historical data, wherein the historical data includes operational data generated by different users after operating one or more financial products, each financial product having one or more corresponding indicators, wherein the one or more indicators are used as a reference factor for evaluating user behavior preference; determining a rating of each financial product by different users based on historical data and one or more indicators corresponding to each financial product; the similarity between different users being determined according to each user's rating of each financial product, and the similarity being used to represent the similarity of behavior preferences among different users; potential users of thetarget financial product being determined based on similarities between different users. The present invention also provides a data processing system, a computer system, and a computer readable storage medium.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and more specifically, to a data processing method and system, a computer system, and a computer-readable storage medium. Background technique [0002] With the penetration of the Internet in the financial field, various Internet financial products such as insurance, stocks, and funds have gradually been recognized and accepted by the public. In the process of precision marketing of financial products, target users are targeted through text messages, emails, etc., so as to increase the conversion rate. The method for screening target groups for different financial products in related technologies may include screening users with hard rules based on the experience of business personnel, such as: age between 20 and 40, income > 5000 and other conditions, and if these conditions are met, it is considered a target user. However, the method of screening based on the experience of busin...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q40/06
CPCG06Q30/0201G06Q40/06
Inventor 王迎
Owner JINGDONG TECH HLDG CO LTD
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