Recommendation model training method and device

A model training and model technology, applied in the field of data processing, can solve the problems of not considering the characteristics of users and products, considering less information, and insufficient performance of recommendation models

Active Publication Date: 2019-07-12
HUAWEI TECH CO LTD
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] However, the single-class matrix factorization model, because it only considers the user ID and product ID in the training process, does not consider the characteristics of

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 model training method and device
  • Recommendation model training method and device
  • Recommendation model training method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0080] Embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.

[0081] The recommendation model mentioned in the embodiment of the present invention can be applied to various recommendation scenarios, such as figure 1 as shown, figure 1 Given are several commonly used scenarios of the recommendation model in the embodiment of the present invention, which include but not limited to scenarios involving e-commerce product recommendation, search engine result recommendation, application market recommendation, music recommendation, video recommendation, etc. The recommended items in the application scenarios are hereinafter referred to as "objects" for the convenience of subsequent descriptions, that is, in different recommendation scenarios, the recommended objects can be APPs, or videos, or music, or a product (such as an online shopping platform's The presentation interface will display different ...

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

The invention provides a recommendation model training method, and the method comprises the steps: carrying out the training of a training sample set through employing a single-class domain perceptionlow-rank model, so as to obtain a model parameter matrix, and enabling the model parameter matrix to be used for generating a recommendation model. The scheme of the invention can be applied to the field of artificial intelligence recommendation. Various domain characteristics and positive and negative samples can be introduced into the single-class domain perception low-rank model, so that morefactors related to user selection and negative example information related to the user can be considered in the training process, a recommendation model with more excellent performance is generated, and the recommendation result better conforms to user requirements. In addition, the specific training mode of model training can greatly simplify the complexity of model training, so that the model training efficiency is improved, and introduction of more information becomes possible.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a recommendation model training method and a related device. Background technique [0002] Artificial Intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. In other words, artificial intelligence is the branch of computer science that attempts to understand the nature of intelligence and produce a new class of intelligent machines that respond in ways similar to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making [0003] Among them, how to make recommendations to use...

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
IPC IPC(8): G06F16/9535
Inventor 祝宏董振华张宇宙林智仁
Owner HUAWEI TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap