A voc car 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 portraits, and good learning performance
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Embodiment 1
[0069] This embodiment provides a VOC car owner cloud big data platform, 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 diff...
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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