A method and system for predicting the popularity of pictures

A popularity and picture technology, applied in the field of data analysis, can solve problems such as the inability to accurately predict the popularity of social pictures

Active Publication Date: 2021-01-26
奇秦科技(北京)股份有限公司
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This existing technology only involves the prediction of text information on social media, and cannot accurately predict the popularity of social pictures

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
  • A method and system for predicting the popularity of pictures
  • A method and system for predicting the popularity of pictures
  • A method and system for predicting the popularity of pictures

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056]In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0057] see below figure 1 , figure 1 It is a flow chart of a method for predicting the popularity of pictures provided by the embodiment of the present application;

[0058] Specific steps can include:

[0059] S101: Preprocessing the collected image data to obtain data to be analyzed;

[0060] Wherein, the purpose of this program is to predict the...

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 application discloses a method for predicting the popularity of pictures. The method includes: preprocessing the collected picture data to obtain the data to be analyzed; using an artificial neural network to extract low-level features and high-level features of the data to be analyzed; The features are spliced ​​with the high-level features to obtain the feature samples; the parameter-optimized XGBoost is used to perform regression prediction on the feature samples to obtain the popularity of the pictures; this method can accurately predict the popularity of pictures, which is conducive to the development of new media ; This application also discloses a system for predicting the popularity of pictures, a computer-readable storage medium and a server, which have the above beneficial effects.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a method and system for predicting picture popularity, a computer-readable storage medium and a server. Background technique [0002] The rapid development of information technology has promoted the popularity of social media, which has changed the way people interact. Users mainly share their lives and experiences on social media platforms by sending pictures. Therefore, social media has accumulated massive image data. However, the popularity of these images varies. The popularity of pictures sent by users with different popularity is very different, and the popularity of pictures sent by the same user is also different. Applications in many fields, such as the design of news personalized recommendation systems, the placement of online advertisements, etc., all benefit from the research on the popularity prediction of social media pictures. [0003] In the prior art, social netw...

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 Patents(China)
IPC IPC(8): G06K9/46G06N3/04
Inventor 刘文印司徒润威李六武高俊艳杨振国
Owner 奇秦科技(北京)股份有限公司
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