Interactive elevator advertisement intelligent recommendation method and system
A technology of elevator advertisement and recommendation method, applied in the field of elevator advertisement, can solve the problems of lack of correlation analysis of the interactive behavior data between passengers and advertisements, and failure to achieve advertisement delivery benefits, so as to achieve advertising delivery benefits, high-quality advertising services, and maximization of The effect of advertising effectiveness
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Embodiment 1
[0045] see figure 1 , this embodiment discloses an interactive elevator advertisement intelligent recommendation method, including the following steps:
[0046] S1: Collect passenger information through surveillance cameras in the elevator, and collect passenger interaction scene information through touching the advertising screen.
[0047] The elevator environment is as follows: the elevator touch advertising screen is installed in the elevator and on the left or right side of the same side as the elevator door, avoiding the side of the button, and facing the passengers exiting the elevator; the monitoring camera is located on the top of the car and directly above the advertising screen , which can not only monitor the entire elevator area, but also help to accurately analyze the passengers in front of the advertising screen.
[0048] Touch the advertisement screen: there is a main playback window and an advertisement directory window. In the main playback window, you can sc...
Embodiment 2
[0073] see figure 2 , this embodiment discloses an interactive elevator advertisement intelligent recommendation system, including:
[0074] The data central control center is responsible for the calculation, storage and transmission of the data information of the entire elevator cluster;
[0075] The information collection module is used to collect passenger attribute information and interaction information in the elevator;
[0076] Passenger attribute analysis module, based on deep learning algorithm to obtain passenger attribute information;
[0077] The database module stores the scene information of passengers interacting with the touch advertising screen in the form of data;
[0078] The global recommendation module analyzes the database information based on the scenario-aware FP-growth recommendation algorithm, and intelligently recommends advertisements to passengers based on the data of the entire elevator cluster;
[0079]The local correction module is based on t...
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