User behavior data-based commodity sorting method and commodity sorting system

A sorting method and user technology, applied in the field of data processing, can solve problems such as difficulty in evaluating the effect, difficulty in achieving thousands of people, complex recommendation systems, etc., and achieve the effect of increasing the purchase rate and improving the accuracy rate.

Active Publication Date: 2019-11-29
GUANGZHOU PINWEI SOFTWARE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the personalized ranking on the server side faces more prominent problems. First, the recommendation system is relatively complicated. After a certain level of improvement, it is difficult to evaluate the effect of subsequent improvements. thousands of faces

Method used

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  • User behavior data-based commodity sorting method and commodity sorting system
  • User behavior data-based commodity sorting method and commodity sorting system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] A product sorting method based on user behavior data, such as figure 1 shown, including:

[0033] Step S1: The manager sets the user behavior weight factor, where the user behavior weight factor includes the user click weight factor and the user favorite weight factor; and judges whether the number of user behavior weight factors is greater than zero, if so, it means that the user has clicked and / or favorited If the user has browsed a product in a certain way, step S2 can be executed at this time; if not, it means that the user has not browsed the product, and there is no need to sort the products, so the sorting ends directly.

[0034] Step S2: After the user uses the terminal to click and / or bookmark the commodity, the user terminal 1 records and stores it. After judging that the number of user behavior weight factors is greater than zero, the user behavior data transmitted by the server 2 is received, and the user behavior data includes the number of times the user ...

Embodiment 2

[0043]A product ranking system based on user behavior data, such as figure 2 shown, including:

[0044] The user terminal 1 can be set as a mobile phone terminal, PC terminal or tablet computer with online shopping function. The user terminal 1 and the server 2 are connected through a wireless network. The user can search for products through the shopping software on the user terminal 1. When viewing products by clicking and / or collecting, the user terminal 1 will record data such as the number of times the user clicks on the product, the number of times the user collects the product, etc., and records all the operations of the user on the list page in real time. Behavior data package, through user behavior data, we can know the user's attention and love for a certain product, so that user behavior data can be used to rank the user's favorite products.

[0045] The shopping software in the user terminal 1 itself has a sorting function, and can sort the commodities for the fi...

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PUM

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Abstract

The invention discloses a user behavior data-based commodity sorting method, which comprises the steps of S1, setting user behavior weight factors, judging whether the number of the user behavior weight factors is greater than zero or not, and if so, executing S2; if not, directly ending the sorting; wherein the user behavior weight factor comprises a user click weight factor and a user collectionweight factor; S2, receiving user behavior data, and calculating a ranking score of each commodity according to a set formula in combination with a user behavior weight factor; and S3, reordering thelist item according to the ranking score of each commodity, and displaying the list item. The commodity sorting system executes the commodity sorting method, can perform secondary sorting on the listitem on the user terminal according to the behavior factor, and improves the accuracy of capturing the favorite commodities of the user, thereby improving the purchase rate of the favorite commodities of the user.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and system for sorting commodities based on user behavior data. Background technique [0002] At present, online shopping usually retrieves product information through the Internet, and purchases after the user selects a suitable product; due to the large variety of products, when searching for products, various products will be displayed in neat order for the user to choose. Generally speaking, products that are ranked relatively high on the display list page can get more exposure, making products that are relatively high ranked easier to be known by users. Relatively high-ranked products have more opportunities was purchased. [0003] So how to sort products and maximize sales has become a problem that must be solved by e-commerce platforms. The current conventional practice is to divide users into groups on the server side by collecting user data, and use different so...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9536G06Q30/06
CPCG06F16/9536G06Q30/0631G06Q30/0643Y02P90/30
Inventor 陈剑平
Owner GUANGZHOU PINWEI SOFTWARE
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