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

Method and system for prediction of advertisement clicking rate

A click-through rate and advertising technology, applied in the network field, can solve problems such as unbalanced sample data and affect the accuracy of click-through rate prediction, and achieve the effect of speeding up processing, improving accuracy and pertinence, and reducing burden

Inactive Publication Date: 2012-09-12
亿赞普(北京)科技有限公司
View PDF5 Cites 50 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] This application provides a method and system for predicting the click-through rate of advertisements to solve the problem that the serious imbalance of sample data in the original sample set will affect the accuracy of click-through rate prediction

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
  • Method and system for prediction of advertisement clicking rate
  • Method and system for prediction of advertisement clicking rate
  • Method and system for prediction of advertisement clicking rate

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0045] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0046] In the prior art, the ratio between the clicked data and the unclicked data in the original sample set is seriously unbalanced, which causes the prediction result of the prediction model to be biased towards the unclicked data, thereby affecting the performance and accuracy of the click rate prediction.

[0047] This application optimizes the original sample set to build a training sample set, uses the sample data in the training sample set with a relatively balanced ratio to build a prediction model, uses the prediction model to predict the test sample set, and can predict the user's response to each advertisement. Click-through rate, at this time, the prediction model will not be biased towards u...

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 method and a system for prediction of advertisement clicking rate to solve a problem of accuracy of the clicking rate prediction affected by seriously imbalanced sample data in the original sample set. The method comprises: extracting sample data to construct an original sample set, wherein the sample data comprises clicked data and unclicked data of users; constructing a training sample set by carrying out sampling on the original sample set; constructing a prediction model by using the sample data in the training sample set as model parameters; and predicting the user clicking rate of each kind of advertisement by utilizing the prediction model to predict the testing sample set. The method and the system in the invention can eliminate the problem of serious imbalance of the proportion between the clicked data and the unclicked data in the original sample set and construct a relatively balanced training sample set. The method and the system improve recognition rate of the prediction model on the clicked rate and improve the accuracy of clicking rate prediction.

Description

technical field [0001] The present application relates to network technology, in particular to a method and system for predicting the click-through rate of advertisements. Background technique [0002] The rise of the Internet allows people to see different advertisements when browsing the same page, which can realize the personalized display of advertisements. By testing the click-through rate, we can understand the advertisements that different users are interested in, so as to display the corresponding advertisements to each user more accurately, so as to increase the click-through rate of advertisements, improve the effect of advertisement delivery and page visits. [0003] When testing the click-through rate, it is necessary to analyze and model the historical delivery effect. First of all, sample data should be extracted to construct the original sample set and predict the click-through rate, so the sample data includes the user's click data and non-click data. In th...

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): G06Q30/02G06F17/30
Inventor 罗峰黄苏支李娜
Owner 亿赞普(北京)科技有限公司
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