Abstract: Some embodiments of the disclosure provide an air intake bypass recirculation structure with adjustable air entraining amount and controllable broadband noise which includes main body of the air intake bypass recirculation structure and an air entraining amount adjusting structure. In some examples, an air intake bypass recirculation cavity is formed in the main body of the air intake bypass recirculation structure. An air inlet of an air intake pipe and an air outlet of the air intake pipe are formed in two ends of the main body of the air intake bypass recirculation structure respectively. An airflow inlet of the air intake bypass recirculation structure and an airflow outlet of the air intake bypass recirculation structure are formed in the inner side of the main body of the air intake bypass recirculation structure. The air entraining amount adjusting structure is arranged in the air intake bypass recirculation cavity.

Abstract: A method includes: training a prediction model with sample data; obtaining user information of a user as an input feature to the prediction model; predicting, using the prediction model according to a set of determination conditions, whether the user has forgotten a payment password associated with a payment application; and in response to predicting that the user has forgotten the payment password and detecting the user logging in the payment application with a login password different from the payment password, displaying a user interface for directing the user to a payment password resetting interface for resetting the payment password.

Abstract: A method includes: training a prediction model with sample data; obtaining user information of a user as an input feature to the prediction model; predicting, using the prediction model according to a set of determination conditions, whether the user has forgotten a payment password associated with a payment application; and in response to predicting that the user has forgotten the payment password and detecting the user logging in the payment application with a login password different from the payment password, displaying a user interface for directing the user to a payment password resetting interface for resetting the payment password.

Abstract: Embodiments of the present specification provide a service recommendation method. In one embodiment, a method for service recommendation comprises: receiving, by a server and from a user terminal, a recommendation request, wherein the recommendation request is sent in response to a determination that a user has entered a predetermined scenario and an activation condition of a predetermined payment service for the user is satisfied; obtaining attribute information of the user based on the recommendation request; determining a recommendation document by matching the attribute information of the user with one or more predetermined rules associated with the predetermined payment service; and sending, from the server to the user terminal, the recommendation document for the user terminal to display a recommendation user interface to the user based on the recommendation document, wherein the recommendation user interface displays one or more predetermined payment services.

Abstract: A method includes: training a prediction model with sample data; obtaining user information of a user as an input feature to the prediction model; predicting, using the prediction model according to a set of determination conditions, whether the user has forgotten a payment password associated with a payment application; and in response to predicting that the user has forgotten the payment password and detecting the user logging in the payment application with a login password different from the payment password, displaying a user interface for directing the user to a payment password resetting interface for resetting the payment password.

Abstract: A method includes: training a prediction model with sample data; obtaining user information of a user as an input feature to the prediction model; predicting, using the prediction model according to a set of determination conditions, whether the user has forgotten a payment password associated with a payment application; and in response to predicting that the user has forgotten the payment password and detecting the user logging in the payment application with a login password different from the payment password, displaying a user interface for directing the user to a payment password resetting interface for resetting the payment password.

Abstract: A device, method and system of displaying a file on a mobile communication device may comprise duplicating at least a leftmost part of a file to obtain a duplicated leftmost part of the file, and displaying a frame through moving a display window along the frame, the frame comprising a rightmost part of the file and the duplicated leftmost part of the file, wherein the duplicated leftmost part of the file is placed on right of the rightmost part of the file. In some embodiments, the mobile communication device may control the display window to automatically move to a leftmost side of the frame, if the display window moves to a rightmost side of the frame, and further in response to a user instruction of continuing viewing the file.

Abstract: A device, method and system of displaying a file on a mobile communication device may comprise duplicating at least a leftmost part of a file to obtain a duplicated leftmost part of the file, and displaying a frame through moving a display window along the frame, the frame comprising a rightmost part of the file and the duplicated leftmost part of the file, wherein the duplicated leftmost part of the file is placed on right of the rightmost part of the file. In some embodiments, the mobile communication device may control the display window to automatically move to a leftmost side of the frame, if the display window moves to a rightmost side of the frame, and further in response to a user instruction of continuing viewing the file.