Accurate advertisement putting method based on user portraits
A delivery method and ad delivery technology, which are applied in the field of big data processing, can solve the problems of low efficiency of ad delivery and the inability of user groups to adjust the order of ad delivery, etc.
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Embodiment 1
[0047]This embodiment provides a method for accurately placing advertisements based on user portraits. Such as figure 1 As shown, the precise delivery method includes the following steps:
[0048] Step 1: Obtain the user label of the current user, such as figure 2 As shown, the specific process includes:
[0049] 1. Obtain the facial features of each current user in the advertisement delivery area.
[0050] 2. Perform facial recognition on each current user in turn, query an advertising analysis database containing user portrait data sets of multiple historical users according to the facial recognition results, and make the following judgments:
[0051] (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.
[0052] (2) When the facial features of the current user do not match the feature data in the facial feature data of all historical use...
Embodiment 2
[0079] This embodiment provides an advertisement analysis database containing a plurality of historical user data. The advertisement analysis database is the database queried in Embodiment 1, and the data in the advertisement analysis database realizes accurate portraits of users' interests and hobbies; thus, it is possible to carry out precise advertising targeted marketing to users.
[0080] 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:
[0081] (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 numbe...
Embodiment 3
[0144] This embodiment provides a method for timely analysis of user needs in a business circle scenario. This method is further developed on the basis of Embodiments 1 and 2, and realizes the most direct and rapid prediction or prediction of user needs of specific users. Evaluate. Such as Figure 8 As shown, the method includes the following steps:
[0145] Step 1: Obtain the facial features of the current user in the advertisement delivery area.
[0146] Step 2: Carry out face recognition to current user successively, query an advertisement analysis database (this advertisement analysis database is the advertisement analysis database in the aforementioned embodiment) that contains the user portrait data set of a plurality of historical users according to the result of facial recognition, make as follows judge:
[0147] (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 u...
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