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Creation system of advertisement analysis database

An advertising analysis and database technology, applied in market data collection, data processing applications, marketing, etc., can solve the problems of inability to accurately profile users and high difficulty in prediction, and achieve real-time, good learning performance, and accurate user profiles.

Inactive Publication Date: 2021-10-01
安徽西柚酷媒信息科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the problem that it is difficult to conduct offline user behavior analysis and interest prediction, and it is impossible to make accurate portraits of users, the present invention provides a system for creating an advertising analysis database

Method used

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  • Creation system of advertisement analysis database
  • Creation system of advertisement analysis database
  • Creation system of advertisement analysis database

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] This embodiment also provides a system for creating an advertisement analysis database, such as figure 1 As shown, the creation system includes: historical user query module, advertisement feature data extraction module, user feedback data extraction module, face recognition module, image recognition module, voice recognition module, video action recognition module, user label establishment module, recognition evaluation Value calculation module, and database creation module.

[0068] Among them, the historical user query module is used to query an advertisement analysis database, and extract the user portrait data sets of historical users collected therein; the user portrait data set includes facial feature data and user tags of each historical user, and the user tags include identity tags, Like labels and dislike labels.

[0069] The advertisement feature data extraction module is used to extract the playing time T of each advertisement played and a keyword data set ...

Embodiment 2

[0149] This embodiment provides a method for accurately placing advertisements based on user portraits. The precise delivery method is developed based on the advertisement analysis database in embodiment 1; as Figure 5 As shown, the precise delivery method includes the following steps:

[0150] Step 1: Obtain the user label of the current user

[0151] 1. Obtain the facial features of each current user in the advertisement delivery area.

[0152] 2. Carry out facial recognition for each current user in turn, query an advertisement analysis database containing user portrait data sets of multiple historical users according to the results of facial recognition (that is, the advertisement analysis database created in Embodiment 1 or 2), and Make the following judgments:

[0153] (1) When the facial features of the current user match the feature data in one of the historical user facial feature data, obtain all feature data in the user tags of the historical user.

[0154] (2)...

Embodiment 3

[0176] This embodiment provides a method for timely analysis of user needs in a business circle scenario, which is further developed on the basis of Embodiment 1, and realizes the most direct and rapid prediction or evaluation of user needs of specific users. Such as Image 6 As shown, the method includes the following steps:

[0177] Step 1: Obtain the facial features of the current user in the advertisement delivery area.

[0178] Step 2: Carry out face recognition to current user successively, query an advertisement analysis database (this advertisement analysis database is the advertisement analysis database created in embodiment 1) that contains the user portrait data sets of a plurality of historical users according to the result of facial recognition, Make the following judgments:

[0179] (1) When the facial features of the current user match the feature data in one of the historical user facial feature data, obtain all feature data in the user tags of the historical...

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Abstract

The invention belongs to the field of big data processing, and particularly relates to a creation system of an advertisement analysis database. The creation system comprises a historical user query module, an advertisement feature data extraction module, a user feedback data extraction module, a face recognition module, an image recognition module, a voice recognition module, a video action recognition module, a user tag establishment module, a recognition degree evaluation value calculation module and a database creation module. According to the creation system of the advertisement analysis database provided by the invention, the preferences of the users can be analyzed according to the identity characteristics of the users and the feedback of different advertisements, and then the database containing the identity characteristics, preferences and disgust characteristics of the users is established; and the preference features and the disgust features are extracted from the keyword data set of the advertisement, so that the method is very suitable for the user to depict the consumption demand and consumption information of the user, and the problems that the difficulty of user behavior analysis and interest prediction is high, and accurate portraying cannot be performed on the user can be solved.

Description

technical field [0001] The invention belongs to the field of big data processing, and in particular relates to a system for creating an advertisement analysis database. Background technique [0002] Commercial advertisements have significant significance in influencing users' purchase decisions; in order to increase the sales of commodities, commercial companies invest a lot in advertising services every year, which is a huge business opportunity. Traditional advertising services always increase the coverage of advertisements in order to obtain greater publicity effects. With the continuous advancement of big data analysis technology, more and more advertising companies understand users' interests and hobbies through the analysis of user behavior, and then accurately push advertisements to users. This kind of personalized advertisement push service is very important in online marketing scenarios. Common, they can be found on almost every mobile app or website. However, thi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/46G06K9/62
CPCG06Q30/0202G06Q30/0201G06Q30/0241G06F18/241
Inventor 吴育怀苏娟汪功林陈孝君梁雨菲
Owner 安徽西柚酷媒信息科技有限公司
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