Recommendation method, electronic device and storage medium
AssigneeHon Hai Precision Industry Co., Ltd.
InventorsCHIH-TE LU, YU-KAI ZHOU, CHIN-PIN KUO
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Abstract
A recommendation method applied to an electronic device is provided. In the method, the electronic device determines an expected number of passengers getting off a compartment of a vehicle at each station. Based on a real-time number of passengers carried in the compartment and an expected number of passengers getting off the compartment, the electronic device can determine a remaining carrying space of the compartment and a recommended number of waiting passengers.
Claims20
A recommendation method applied to an electronic device, the method comprising:
- determining an expected number of passengers getting off a compartment of a vehicle at each station, by using a number prediction model;
- and
- determining a remaining carrying space of the compartment and a recommended number of waiting passengers based on a real-time number of passengers carried in the compartment and the expected number of passengers getting off the compartment.
An electronic device comprising:
- a storage device;
- at least one processor;
- and
- the storage device storing one or more programs, which when executed by the at least one processor, cause the at least one processor to:
- determine an expected number of passengers getting off a compartment of a vehicle at each station, by using a number prediction model;
- and
- determine a remaining carrying space of the compartment and a recommended number of waiting passengers based on a real-time number of passengers carried in the compartment and the expected number of passengers getting off the compartment.
A non-transitory storage medium having instructions stored thereon, when the instructions are executed by a processor of an electronic device, the processor is caused to perform a recommendation method, wherein the method comprises:
- determining an expected number of passengers getting off a compartment of a vehicle at each station, by using a number prediction model;
- and
- determining a remaining carrying space of the compartment and a recommended number of waiting passengers based on a real-time number of passengers carried in the compartment and the expected number of passengers getting off the compartment.
Dependencies are inferred from the claim text.