Feature sample real-time acquisition method and system

A real-time collection and sample technology, applied in the field of machine learning, can solve the problems of low offline production efficiency, complex production, low accuracy, etc., and achieve the effect of solving the low offline production efficiency and improving the effect of online training.

Active Publication Date: 2021-08-27
北京华品博睿网络技术有限公司
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method and system for real-time collection of feature samples, which can not only well support the real-time collection of feature samples to improve the online training effect of the model, but also solve the problems of low offline production efficiency, complicated production and low accuracy of feature samples. question

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
  • Feature sample real-time acquisition method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0032] It should be noted that if there is a directional indication (such as up, down, left, right, front, back...) in the embodiment of the present invention, the directional indication is only used to explain the position in a certain posture (as shown in the accompanying drawing). If the specific posture changes, the directional indication will also change accordingly.

[0033] In addition, in describing the present invention, the terms used are for the purpose ...

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 embodiment of the invention discloses a feature sample real-time acquisition method which comprises the following steps: when a sample production node monitors a result message of a model result message system, the sample production node obtains metadata required by a feature sample from a distributed configuration system according to a session ID of the result message, and obtains all features required by the feature sample from the feature library, constructs a cache sample according to the metadata and all the features, and stores the cache sample in a storage system; each real-time behavior acquisition node monitors a user behavior message system, and when the real-time behavior acquisition node monitors the behavior message of the user behavior message system, the real-time behavior acquisition node obtains a cache sample from a cache system according to the session ID of the behavior message and generates a sample label; and the sample label and the cache sample are integrated into a feature sample and the feature sample is stored in the feature sample storage system. The embodiment of the invention also discloses a feature sample real-time acquisition system. The method can well support real-time collection of feature samples.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a method and system for real-time collection of feature samples. Background technique [0002] Feature sample collection is an important part of machine learning model training, and the quality of data determines the effect of the algorithm model. In recommender system-related technologies, samples are mostly obtained through off-line calculations. The production efficiency of samples in this way is low, the production of samples is complicated, and the accuracy of the obtained samples is also low. Contents of the invention [0003] The purpose of the present invention is to provide a method and system for real-time collection of feature samples, which can not only well support the real-time collection of feature samples to improve the online training effect of the model, but also solve the problems of low offline production efficiency, complicated production and low a...

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): G06F16/2457G06F16/2455
CPCG06F16/24552G06F16/24573
Inventor 张险全薛延波赵鹏
Owner 北京华品博睿网络技术有限公司
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