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VOC vehicle owner cloud big data platform

A big data platform and technology for car owners, applied in the field of big data processing, can solve the problems of inability to accurately profile users and high user difficulty, and achieve the effects of real-time, accurate user profiles, and good learning performance.

Active Publication Date: 2021-09-24
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 behavior analysis and interest prediction of users offline, and it is impossible to make accurate portraits of users, the present invention provides a VOC car owner cloud big data platform

Method used

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  • VOC vehicle owner cloud big data platform
  • VOC vehicle owner cloud big data platform
  • VOC vehicle owner cloud big data platform

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0069] This embodiment provides a big data platform for VOC car owners, where an advertisement analysis database containing multiple historical user data is stored. The data in the advertising analysis database realizes accurate portraits of users' interests and hobbies; thus, it is possible to carry out precise advertising targeting marketing to users.

[0070] The data in the advertising analysis database is mainly obtained by identifying the user's identity characteristics in scenarios such as elevators, garages, and shopping malls, and analyzing the evaluation results of users' acceptance of video advertisements. The data in the advertising analysis database mainly includes the following aspects:

[0071] (1) The user's facial features; this feature is mainly used to distinguish the identities of different users and serves as the user's unique identity mark. At the same time, the advertising analysis database also assigns a unique user number to the user according to diffe...

Embodiment 2

[0134] This embodiment provides a system for creating an advertisement analysis database. The creation system adopts the method for creating an advertisement analysis database included in Embodiment 1 to realize the process of creating and updating the advertisement analysis database.

[0135] Such as Figure 4 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.

[0136] 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 inc...

Embodiment 3

[0153] On the basis of Embodiment 2, this embodiment provides a method for evaluating user acceptance of advertisements based on feature recognition, such as Figure 5 As shown, the method includes the following steps:

[0154] Step 1: Obtain the feature data of the currently playing advertisement

[0155] The playing duration T of each advertisement played and the keyword data set associated with each advertisement are acquired.

[0156] Wherein, the characteristic data in the keyword data set are a plurality of preset keywords related to the content of the currently played advertisement. The characteristic data in the keyword data set of each advertisement at least include:

[0157] (1) Reflect the keywords of the advertised product.

[0158] (2) Key words that reflect the target customer group targeted by the advertisement.

[0159] (3) Keywords that reflect the spokesperson of the advertisement or the character image of the advertisement.

[0160] (4) High-frequency or ...

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Abstract

The invention belongs to the field of big data processing, and particularly relates to a VOC vehicle owner cloud big data platform. An advertisement analysis database is created in the platform. The method for creating the advertisement analysis database comprises the following steps: 1, identifying newly-added users and establishing user tags for the identified newly-added users, wherein the user tags comprise identity tags, preference tags and disgust tags; 2, acquiring feature data of the currently played advertisement, comprising the playing duration T of each advertisement and a keyword data set associated with each advertisement; 3, acquiring feedback data of each user on advertisement playing; 4, according to feedback data of each user on advertisement playing, calculating an acceptance degree evaluation value En of each user on the current advertisement; 5, establishing or updating an advertisement analysis database, wherein the content in the preference label or the disgust label is the data in the keyword data set. According to the invention, the problems that the difficulty of offline user behavior analysis and interest prediction is high, and accurate portraying cannot be performed on the user are solved.

Description

technical field [0001] The invention belongs to the field of big data processing, and in particular relates to a VOC vehicle owner cloud big data platform. Background technique [0002] Commercial advertisements are of great significance in influencing users' purchase decisions; 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, this precise advertising push service is usually not available offline. This is mainly because various online network service providers can track users' browsing and online se...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06F16/215G06F16/2455G06K9/00G10L15/26
CPCG06Q30/0269G06Q30/0265G06F16/215G06F16/2455G10L15/26
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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