Abstract: A voice broadcast method includes: acquiring at least one piece of voice information; delivering the at least one piece of voice information to a voice broadcast device, wherein, the at least one piece of voice information includes voice identification information and a voice content; determining a first voice content to be broadcast by the voice broadcast device, wherein the first voice content is included in the at least one piece of voice information stored at the voice broadcast device; and sending, to the voice broadcast device, a first voice identification information corresponding to the first voice content, wherein the first voice identification information is used by the voice broadcast device to obtain the first voice content stored at the voice broadcast device, and to broadcast the first voice content when a preset voice broadcast condition is met.

Abstract: A computer-implemented method includes: obtaining first environmental factor data of a first time period and first historical payment data of a target Internet of Things (IoT) device in the first time period, in which the first time period is before a first time point; obtaining second environmental factor data of a second time period that is after the first time point; and obtaining a prediction, using a neural network model, operating on at least one computing device, of an estimated statistical distribution of one or more users who execute transactions using the target IoT device in the second time period, in which the first environmental factor data, the first historical payment data, and the second environment factor data are inputs to the neural network model.

Abstract: A voice broadcast method includes: acquiring at least one piece of voice information; delivering the at least one piece of voice information to a voice broadcast device, wherein, the at least one piece of voice information includes voice identification information and a voice content; determining a first voice content to be broadcast by the voice broadcast device, wherein the first voice content is included in the at least one piece of voice information stored at the voice broadcast device; and sending, to the voice broadcast device, a first voice identification information corresponding to the first voice content, wherein the first voice identification information is used by the voice broadcast device to obtain the first voice content stored at the voice broadcast device, and to broadcast the first voice content when a preset voice broadcast condition is met.

Abstract: A voice broadcast method includes: acquiring at least one piece of voice information; delivering the at least one piece of voice information to a voice broadcast device, wherein, the at least one piece of voice information includes voice identification information and a voice content; determining a first voice content to be broadcast by the voice broadcast device, wherein the first voice content is included in the at least one piece of voice information stored at the voice broadcast device; and sending, to the voice broadcast device, a first voice identification information corresponding to the first voice content, wherein the first voice identification information is used by the voice broadcast device to obtain the first voice content stored at the voice broadcast device, and to broadcast the first voice content when a preset voice broadcast condition is met.

Abstract: A computer-implemented method includes: obtaining first environmental factor data of a first time period and first historical payment data of a target Internet of Things (IoT) device in the first time period, in which the first time period is before a first time point; obtaining second environmental factor data of a second time period that is after the first time point; and obtaining a prediction, using a neural network model, operating on at least one computing device, of an estimated statistical distribution of one or more users who execute transactions using the target IoT device in the second time period, in which the first environmental factor data, the first historical payment data, and the second environment factor data are inputs to the neural network model.

Abstract: A voice broadcast method includes: acquiring at least one piece of voice information; delivering the at least one piece of voice information to a voice broadcast device, wherein, the at least one piece of voice information includes voice identification information and a voice content; determining a first voice content to be broadcast by the voice broadcast device, wherein the first voice content is included in the at least one piece of voice information stored at the voice broadcast device; and sending, to the voice broadcast device, a first voice identification information corresponding to the first voice content, wherein the first voice identification information is used by the voice broadcast device to obtain the first voice content stored at the voice broadcast device, and to broadcast the first voice content when a preset voice broadcast condition is met.

Abstract: Embodiments of the disclosure provide methods and apparatuses for processing information. The method can include: receiving, via a server, an exchange request for a first transaction order associated with a first user and a second user; determining first user information of the first user, second user information of the second user, and information of a first data object associated with the exchange request; verifying the second user; and in response to the second user being verified, creating a second transaction order according to the information of the first data object; and providing the second transaction order to a client terminal of the first user for execution of a delivery of the first data object, wherein the second transaction order is associated with a second data object corresponding to the first data object.