A credit card discount information recommendation method and system based on a user consumption portrait

A technology of information recommendation and credit card, applied in marketing and other directions

Pending Publication Date: 2019-05-28
ONE CONNECT SMART TECH CO LTD SHENZHEN
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the credit card offer information that may be recommended t

Method used

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  • A credit card discount information recommendation method and system based on a user consumption portrait
  • A credit card discount information recommendation method and system based on a user consumption portrait
  • A credit card discount information recommendation method and system based on a user consumption portrait

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] refer to figure 1 , shows a flow chart of a method for recommending credit card preferential information based on user consumption portraits according to Embodiment 1 of the present invention. It can be understood that the flowchart in this method embodiment is not used to limit the sequence of execution steps. The following is an exemplary description of a credit card discount information recommendation system based on user consumption portraits (hereinafter referred to as "recommendation system") as an example. The recommendation system can be applied to a server. details as follows:

[0049] In step S100, the card information and transaction details of at least one credit card of the user are recorded.

[0050] In an embodiment of the present invention, the recommendation system may use a web crawler program to crawl the transaction details information of each credit card from the online banking website corresponding to each credit card according to the card inform...

Embodiment 2

[0085] see figure 2 , shows a schematic diagram of program modules of a credit card preferential information recommendation system 500 based on user consumption portraits (hereinafter referred to as "recommendation system" 500) according to Embodiment 2 of the present invention. In this embodiment, the recommendation system 500 may include or be divided into one or more program modules, one or more program modules are stored in a storage medium and executed by one or more processors to complete the present invention , and can implement the above-mentioned method for recommending credit card discount information based on user consumption portraits. The program module referred to in the embodiment of the present invention refers to a series of computer program instruction segments capable of completing specific functions, which is more suitable than the program itself to describe the execution process of the method for recommending credit card discount information based on user...

Embodiment 3

[0122] refer to Figure 6 , is a schematic diagram of the hardware architecture of the computer device 600 according to Embodiment 3 of the present invention. In this embodiment, the computer device 600 is a device capable of automatically performing numerical calculation and / or information processing according to preset or stored instructions. As shown in the figure, the computer device 600 at least includes, but is not limited to, a memory 601, a processor 602, a network interface 603, and a credit card preferential information recommendation system 604 based on user consumption portraits that can communicate with each other through a system bus. in:

[0123] In this embodiment, the memory 601 includes at least one type of computer-readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory ( RAM), static random access memory (SRAM), read only memory ...

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Abstract

The embodiment of the invention provides a credit card preferential information recommendation method based on a user consumption portrait. The credit card preferential information recommendation method comprises the following steps: recording card information and transaction detail information of at least one credit card of a user; extracting the consumption type preference, the consumption placepreference, the consumption amount and the consumption frequency of the user from the transaction detail information; And performing two-layer classification on the user according to the consumptiontype preference, the consumption place preference, the consumption amount and the consumption frequency of the user, and recommending credit card discount information to the user according to the two-layer classification. The embodiment of the invention further provides a credit card preferential information recommendation system based on the user consumption portrait, computer equipment and a computer readable storage medium. Consumption preference analysis can be carried out according to the transaction detail information of the credit card of the user, and credit card discount information truly interested by the user is intelligently recommended.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of user portraits, and in particular to a method, system, computer equipment, and computer-readable storage medium for recommending credit card discount information based on user consumption portraits. Background technique [0002] Due to the convenience and versatility, and the credit limit can be overdrafted, credit card consumption has become the first choice for many people. The functions of each credit card are inconsistent, so almost every consumer has multiple credit cards from different banks, and credit card consumption has become the most popular way of consumption. [0003] Currently, each card-issuing bank (credit card issuing bank) only displays the preferential information of its own credit card to users; O2O, e-commerce platforms, and special credit card add-on platforms display credit card discounts that have a cooperative relationship with the card-issuing bank, reg...

Claims

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Application Information

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IPC IPC(8): G06Q30/02
Inventor 龙撷宇
Owner ONE CONNECT SMART TECH CO LTD SHENZHEN
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