Advertisement pushing method based on age group, smart television and storage medium

Abstract

The invention discloses an advertisement pushing method based on age groups, a smart television and a storage medium, and the method comprises the steps: collecting fingerprint information of users ofdifferent age groups in family members through a fingerprint remote controller in advance, and storing the fingerprint information in the smart television as a fingerprint database; when the smart television is turned on and selects a television program, enabling the smart television to receive fingerprint information of a current user sent by a fingerprint remote controller; after the smart television receives the fingerprint information sent by the fingerprint remote controller, matching the fingerprint information with a pre-stored fingerprint database, and judging the age group to which the current user belongs; and according to the age group to which the current user belongs, enabling the advertisement pushing server of the smart television to push the advertisement of the corresponding age group according to an advertisement library. The age groups to which the users belong are identified according to the fingerprint information of the different users, the advertisements of thedifferent age groups are pushed in a targeted mode, and the advertisement pushing effect is effectively improved.

Description

technical field [0001] The invention relates to the field of computer application technology, in particular to an age group-based advertisement pushing method, a smart TV and a storage medium. Background technique [0002] At present, the shipment of smart TVs is increasing, and more and more users will see many advertisements when watching TV, such as video advertisements, picture advertisements, etc., but the advertisers do not know whether these advertisements are the ones that users care about. , How to accurately push advertisements and push advertisements that make users care about has become an urgent problem to be solved. [0003] That is to say, the current TV advertisements are basically pre-set, and the pre-arranged advertisements are played regularly in the program. The push of advertisements is very blind. When watching TV during the time period, pre-set advertisements will be placed, and no advertisements are targeted at the audience. In the prior art, facial ...

AI Technical Summary

Problems solved by technology

[0003] That is to say, the current TV advertisements are basically pre-set, and the pre-arranged advertisements are played regularly in the program. The push of advertisements is very blind. When watching TV during the time period, pre-set advertisements will be placed, and no advertisements are targeted at the audience. In the prior art, facial recognition is also used to determine the type of user to place advertisements, but this requires uninterrupted access to the TV. The camera collects the user's face information. When the user is not aimed at the camera or the light is not sufficient at night, the user's face information cannot be accurately collected. The recognition rate is not high, and it is inconvenient to use.

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