Product intelligent recommendation method, server and storage medium

A recommendation method and server technology, applied in the field of big data, can solve problems such as inability to analyze customer purchasing power and limited service types

Pending Publication Date: 2019-01-18
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the types of services involved in each service product are limited, and no service product can provide customers with comprehensive services
Customers who have purchased service products have certain p

Method used

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  • Product intelligent recommendation method, server and storage medium
  • Product intelligent recommendation method, server and storage medium
  • Product intelligent recommendation method, server and storage medium

Examples

Experimental program
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Embodiment Construction

[0052] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0053] like figure 1 Shown is a schematic diagram of a preferred embodiment of the server 1 of the present invention.

[0054] In this embodiment, the server 1 refers to a product service platform, and the server 1 may be a server, a tablet computer, a personal computer, a portable computer and other electronic devices with computing functions.

[0055] The server 1 includes: a memory 11 , a processor 12 , a display 13 and a network interface 14 . Wherein, the network interface 14 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

[0056]The memory 11 includes at least one type of readable storage medium. The at least one type of readable storage medium may be a non-volatile storage medium such as a flash memory, a hard disk, a multimedia card, a memory card, an...

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PUM

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Abstract

The invention relates to a big data technology and discloses a product intelligent recommendation method, a server and a storage medium. The method obtains relevant information of a customer of a purchased product, including basic information and purchase information, and screens out a customer with purchasing power by using preset screening rules. Next, the method is based on the purchase information of the purchasing power customer, The service types not involved in the products purchased by each customer are counted to obtain the products corresponding to the service types, the products corresponding to the service types and the purchase information are mapped to a feature vector and input to a predetermined prediction model, and the purchase probability of the products corresponding tothe service types purchased by each customer is predicted. At last, that method judge whether the purchase probability is great than the preset threshold value, if the purchase probability is greaterthan the preset threshold value, the product corresponding to the purchase probability is recommended to the customer. The invention can intelligently recommend the appropriate service type product to the customer.

Description

technical field [0001] The present invention relates to the field of big data technology, in particular to a method for intelligent product recommendation, a server and a computer-readable storage medium. Background technique [0002] In the Internet age, facing numerous products and customers with different needs, how to recommend the most suitable products to customers is a problem that enterprise marketing has been exploring. [0003] Taking insurance products as an example, with the development of society, people are more and more inclined to purchase insurance products to protect personal and property safety. However, the types of services involved in each service product are limited, and no service product can provide customers with comprehensive services. Customers who have purchased service products have certain purchasing power, but the current system cannot analyze the purchasing power of customers based on customer information and purchased products, and intellig...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q30/02
CPCG06Q30/0202G06Q30/0631
Inventor 李治
Owner PING AN TECH (SHENZHEN) CO LTD
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