Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Production recommendation evaluation method, device and system

An evaluation method and recommendation technology, applied in the field of image processing, can solve the problems of high manpower, material resources and time costs, and achieve the effects of saving time and manpower costs, precision marketing, and improving accuracy

Inactive Publication Date: 2017-09-26
GUANGDONG MATVIEW INTELLIGENT SCI & TECH CO LTD
View PDF7 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the research requires a large number of effective samples and cooperates with users to effectively answer relevant questions, the cost of manpower, material resources and time is extremely high.

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
  • Production recommendation evaluation method, device and system
  • Production recommendation evaluation method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] Below, the present invention will be further described in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of not conflicting, the various embodiments described below or the technical features can be combined arbitrarily to form new embodiments. .

[0046] The invention mainly includes: a camera and an identification module. Camera: Use the camera to obtain facial video images of users in the process of browsing various products. Recognition module: including recognition model and recommendation degree recognition. Use the established recognition model to analyze the user's browsing behavior video images captured by the camera. According to the user's facial continuous emotional changes, browse the dwell time of each product, and compare the recognition model to calculate the product recommendation. Recognition model: By extracting key frames from facial video images, constructing facial key poi...

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 present invention discloses a production recommendation evaluation method, device and system. The method comprises the following steps: the S1: establishing a human face identification model library; S2: obtaining human face identification information and product browsing time, wherein the face identification information comprises the current feature vector of a human face; and S3: obtaining user recommendation data according to the face identification information and the product browsing time. A camera is employed to obtain a user video image in the process of product contact, the image identification technology is employed to analyze user face emotion changing state and combine the user product browsing time to correspondingly form the recommendation data of the product so as to effectively perform product recommendation investigation, save time and labor cost and improve the investigation data accuracy, and the system provided by the invention can be utilized in the product sale and recommendation links to perform accurate marketing of target users.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a product recommendation degree evaluation method, device and system. Background technique [0002] At present, relevant target user surveys will be carried out when products are launched into the market. Existing product surveys are mainly conducted in the form of interviews or questionnaires. According to a series of related questions answered by users, users’ emotional attitudes towards products are judged, thus forming a product recommendation survey. Report. Since the research requires a large number of effective samples and cooperates with users to effectively answer relevant questions, it requires extremely high manpower, material resources and time costs. Contents of the invention [0003] In order to overcome the deficiencies of the prior art, one of the purposes of the present invention is to provide a method for evaluating product recommendation, wh...

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): G06Q30/02G06K9/00
CPCG06Q30/0256G06V40/174G06Q30/0203G06V40/16G06V40/166
Inventor 邓立邦
Owner GUANGDONG MATVIEW INTELLIGENT SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com