Method and device for matching consumer with sales consultant, and storage medium

A technology for consumers and consultants, applied in the field of big data computing, can solve the problems that e-commerce platforms cannot intelligently match consumers with sales consultants, and achieve accurate and efficient matching effects

Pending Publication Date: 2020-05-29
EVERGRANDE SMART TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the e-commerce platform cannot intelligently match sales consu

Method used

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  • Method and device for matching consumer with sales consultant, and storage medium
  • Method and device for matching consumer with sales consultant, and storage medium
  • Method and device for matching consumer with sales consultant, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0068] Embodiment 1, as a specific implementation of the above-mentioned method of matching consumers and sales consultants, in this embodiment, consumers are house buyers, sales consultants are economic agents, and house buyers will check several of their intended real estate. Brokers will also mainly operate a few properties that they are familiar with. Buyer A browses the real estate and will leave a history of viewing the house. Broker 1 recommends real estate, and will leave a history of recommended real estate. At this time, if the behaviors of the two people match, and the similarity of a certain period of history reaches the value set by the algorithm, a recommendation can be made and the broker information will be displayed to the user. It specifically includes the following steps:

[0069] Create a house buyer behavior table (BU table for short) and a broker behavior table (BS table for short) in the database. Each row in the BU table is a house buyer, and each re...

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PUM

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Abstract

The invention discloses a method and device for matching consumers with sales advisers and a storage medium, and the method comprises the steps: obtaining the historical behavior record of each consumer, and building a behavior data list of each consumer; obtaining a behavior history record of each sales consultant, and establishing a behavior data list of each sales consultant; receiving a recommendation request of a user, and judging the type of the user; recommending sales advisers whose similarity values with the user are greater than a preset threshold to the user; and recommending consumers whose similarity with the user is greater than a preset threshold to the user. By means of the steps, the problem that in the prior art, other sales consultants cannot be recommended due to the fact that the ranking of commodities in charge of the sales consultants is too high is solved, and accurate and efficient matching of consumers and the sales consultants is achieved.

Description

technical field [0001] The invention relates to the field of big data computing, in particular to a method, device and storage medium for matching consumers and sales consultants. Background technique [0002] In the Internet industry, there are various recommendation functions. For example, when shopping on the "shopping platform", when a consumer views a certain type of product, other products of this type will be recommended to the consumer. This type of recommendation connects the products of different merchants with users, and this recommendation can help consumers choose the products they want. The e-commerce platform classifies products, and when consumers browse products of this type, they will recommend other products of the same type. [0003] In the existing technology, the e-commerce platform cannot intelligently match sales consultants for consumers, and the sales consultants provide users with appropriate services one-on-one. Contents of the invention [0...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q30/06
CPCG06Q30/0281G06Q30/0631
Inventor 庞士统
Owner EVERGRANDE SMART TECH CO LTD
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