Unlock instant, AI-driven research and patent intelligence for your innovation.

Recommendation system and recommendation method

A recommendation system and product technology, applied in the field of recommendation methods and recommendation systems for products, can solve problems such as difficult to obtain recommendation results, increase model calculation amount, noise, etc., reduce computing performance requirements, improve accuracy and efficiency Effect

Active Publication Date: 2020-05-12
THE FOURTH PARADIGM BEIJING TECH CO LTD
View PDF8 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] When the feature vector is too sparse, it will not only increase the calculation amount of the model during model training, but also introduce some unnecessary noise
Therefore, it is difficult for traditional recommendation methods to achieve ideal recommendation results when there are many types of products.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Recommendation system and recommendation method
  • Recommendation system and recommendation method
  • Recommendation system and recommendation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0032] In order to enable those skilled in the art to better understand the present invention, exemplary embodiments of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific implementation methods.

[0033] figure 1 is a block diagram illustrating a recommendation system 100 according to an exemplary embodiment of the present disclosure.

[0034] refer to figure 1 , the recommendation system 100 may include: a category division unit 110 , a matching degree calculation unit 120 , a probability conversion unit 130 and a recommendation unit 140 .

[0035] In an exemplary embodiment of the present invention, the category classifying unit 110 may classify a plurality of commodities into at least one category.

[0036] Here, the category classifying unit 110 may classify the plurality of commodities into the at least one category based on a commodity feature vector of each commodity in the plurality of commoditie...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

A recommendation system and a recommendation method are provided. The recommendation system includes: a category classification unit configured to classify a plurality of commodities into at least onecategory; a matching degree calculation unit that is used for calculating the matching degree between each user and each commodity in the category for each category in the at least one category; theprobability conversion unit that is used for converting the matching degree between each user and each commodity in the category into a probability value of purchasing each commodity in the category by each user aiming at each category in the at least one category; and the recommendation unit that is used for sorting the probability values of purchasing all the commodities in all the categories bythe user for each user in all the users, and determining the commodities recommended to the user according to a sorting result.

Description

technical field [0001] This application relates to the field of data mining, and more specifically, relates to a recommendation method and a recommendation system for commodities. Background technique [0002] Most of the existing commodity recommendation methods usually recommend similar commodities to the user that the user has purchased or viewed according to the user's browsing history or purchase history. Such commodity recommendation methods are generally only capable of recommending limited categories of commodities to users. [0003] With the development of data mining technology and the maturity of machine learning algorithms, more and more companies have begun to build their own recommendation systems in order to recommend customized products to different customers, expand the scope of recommendations, increase the purchase rate, and increase the number of companies. income. [0004] Applying machine learning to a recommendation system usually requires extracting...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06F16/9535G06Q30/0631
Inventor 刘正夫
Owner THE FOURTH PARADIGM BEIJING TECH CO LTD