Unlock instant, AI-driven research and patent intelligence for your innovation.

Intelligent advertisement putting method based on knowledge graph and AB experiment

A technology of advertisement placement and knowledge graph, applied in the field of intelligent advertisement placement based on knowledge graph and AB experiment, it can solve the problems of limited labor cost and ability, inability of advertisement placement effect, and optimal conversion rate of advertisement placement, etc., and achieves good effect. , the effect of increasing the conversion rate

Pending Publication Date: 2021-10-22
杭州索引科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] How to choose an advertising platform, how to choose an advertising strategy, how to save advertising costs, how to optimize the advertising effect, and how to improve the advertising conversion rate have become a major problem for enterprises. Now the method to improve the advertising effect and advertising conversion rate is through The advertising optimizer manually monitors the market for 24 hours and optimizes the advertisement based on experience. This method is limited by labor costs and capabilities, and cannot achieve the best advertising effect and conversion rate

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
  • Intelligent advertisement putting method based on knowledge graph and AB experiment
  • Intelligent advertisement putting method based on knowledge graph and AB experiment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] 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 making creative efforts belong to the protection scope of the present invention.

[0030] see Figure 1-2 , the present invention provides the following technical solutions: an intelligent advertisement delivery method based on knowledge graph and AB experiment, comprising the following steps:

[0031] S1: Build a knowledge map for advertising delivery optimization;

[0032] S2: Carry out AB grouping experiments according to the knowledge map;

[0033] S3: Based on the performance data, obtain efficient delivery optimization knowledge rule...

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 discloses an intelligent advertisement putting method based on a knowledge graph and an AB experiment, and belongs to the technical field of advertisement putting methods, and the method comprises the following steps: S1, constructing an advertisement putting optimization knowledge graph; S2, carrying out an AB grouping experiment according to the putting knowledge graph; S3, according to the effect data, obtaining an efficient putting optimization knowledge rule; and S4, carrying out advertisement putting according to the efficient putting optimization knowledge rule. According to the method, the advertisement putting optimization knowledge graph is constructed by collecting and processing the original data information of industry experience, the AB experiment is performed according to the advertisement putting optimization knowledge graph, the advertisement putting optimization knowledge rule with high conversion and excellent effect is obtained, then advertisement putting can be optimized according to the obtained advertisement putting optimization knowledge rule; and compared with an existing mode that an advertisement optimizer optimizes the advertisement according to experience for 24 hours, the method has the advantages that the advertisement putting optimization effect is better, and the advertisement putting conversion rate can be remarkably improved.

Description

technical field [0001] The invention belongs to the technical field of advertisement placement methods, and in particular relates to an intelligent advertisement placement method based on knowledge graphs and AB experiments. Background technique [0002] With the rapid development of network technology, network advertising, as the new fifth largest media, occupies an important position in media publicity. Network advertising with the Internet as the medium of communication develops rapidly and serves as a bridge between producers and consumers , Consumers are more dependent on advertisements when choosing products. Large companies can further consolidate their brand image and strengthen user loyalty through online advertising marketing methods, while small companies can quickly expand brand awareness through online advertising marketing methods and achieve growth in sales performance. section climbed. [0003] How to choose an advertising platform, how to choose an advertis...

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): G06Q30/02G06F16/36
CPCG06Q30/0244G06Q30/0243G06Q30/0277G06F16/367
Inventor 汤泽亮
Owner 杭州索引科技有限公司