E-commerce system-based commodity search recommendation method and application

A technology for searching and recommending products, applied in the computer field, can solve problems such as rigid product display, time-consuming and labor-intensive, and non-personalized users

Pending Publication Date: 2021-04-30
昆山巨星行动电子商务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the above two solutions have the following disadvantages: (1) After rearranging the product search results according to the optional sorting keywords, the number of search results has not changed. It is still necessary to make continuous judgments, and finding the right product is also time-consuming and laborious; (2) By adding hot-selling products in the product search results, although it is useful for some users who judge whether to buy products based on sales volume, different users From the product search results, you can see the same hot-selling products, which are unavoidably the same, and it is not personalized when applied to each user.

Method used

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  • E-commerce system-based commodity search recommendation method and application
  • E-commerce system-based commodity search recommendation method and application
  • E-commerce system-based commodity search recommendation method and application

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Experimental program
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Embodiment 1

[0048] This embodiment provides a method for searching and recommending commodities based on an e-commerce system, comprising the following steps:

[0049] (1) Calculation of behavioral relationship data 1: According to the association rule algorithm, offline calculation of the relationship between the user's search keywords and purchased products in historical data, and analysis of other products that users who like this product also like, as behavioral relationship data one;

[0050] (2) Calculation of behavioral relationship data 2: According to the association rule algorithm, the offline calculation of the relationship between the user's browsing and purchasing of the historical data in the historical data, and analysis of other products that users who like the product also like, as the behavioral relationship data 2 ;

[0051] (3) Calculation of relational data: Offline calculation of the current ranking of the best-selling products in the e-commerce system as relational...

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Abstract

The invention belongs to the technical field of computers, and relates to a personalized recommendation technology, in particular to an e-commerce system-based commodity search recommendation method and application. According to the technical scheme, the first multiple commodities most suitable for the user can be recommended on the basis of searching and commodity browsing behaviors of the user. According to the commodity recommendation method and device, accurate recommendation can be achieved for different users who search and recommend different commodities, individuation is achieved, different choices of different users for the same commodity can be met, the time and effort for the users to search for favorite commodities are reduced, and the favorite product purchasing efficiency is improved.

Description

technical field [0001] The invention belongs to the field of computer technology and relates to personalized recommendation technology, in particular to a method and application for searching and recommending commodities based on an e-commerce system. Background technique [0002] With the development and updating of Internet technology, there are more and more e-commerce websites that provide users with commodity shopping. When users use e-commerce websites to search and shop, there are many search results. If users want to find the products they are interested in, they need to click on the search results multiple times, which is time-consuming and laborious, and the user's shopping experience is extremely poor. If the e-commerce website can automatically list a suitable amount of personalized products according to the user's needs in the user's search results, avoiding the blind search of users in numerous search results, and allowing users to spend the least time and effo...

Claims

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Application Information

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IPC IPC(8): G06Q30/06
CPCG06Q30/0631
Inventor 马心婷
Owner 昆山巨星行动电子商务有限公司
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