5 results about "Mobile content" patented technology

The invention relates to the field of mobile content distribution, and provides a content scheduling method and device, equipment and a storage medium. The method comprises the following steps: acquiring attribute data of to-be-distributed content, state data of at least one target node in a content distribution network and external influence factor data; inputting the attribute data of the to-be-distributed content, the state data of the at least one target node and the external influence factor data into a trained content distribution quantity prediction model to obtain predicted distribution quantity information of the to-be-distributed content on the at least one target node in a future specified time period; and performing content pre-distribution and / or resource adjustment on the at least one target node based on the predicted distribution quantity information. According to the content scheduling method provided by the invention, accurate and fine-grained prediction can be carried out on the content distribution quantity of the CDN nodes, so that the accuracy of content pre-distribution and the utilization efficiency of network resources are improved.

To provide a user interface for vehicles that is less likely to cause discomfort to the user. [Solution] The display device includes a touch panel, a first display unit positioned in front of the steering wheel, a second display unit positioned at least one side of the vehicle width direction relative to the first display unit and positioned further back than the first display unit, and a third display unit connecting the first and second display units and having a curved surface. The information processing device has a control unit configured to receive a request input to the touch panel for moving content displayed on one of the first and second display units to the other display unit, and to output information to the display device that modifies the content as it moves when the content is moved from one display unit to the other display unit via the third display unit.

A display device includes a touch panel, a first display unit disposed in front of a steering wheel, a second display unit disposed on at least one side of the first display unit in a vehicle width direction and also disposed on a rear side of a vehicle with respect to the first display unit, and a third display unit with a curved surface connecting the first display unit and the second display unit to each other, and an information processing apparatus includes a controller configured to execute: receiving a request input to the touch panel to move content displayed on one of the first and second display units to the other display unit; and outputting, to the display device, information for moving the content while deforming it when the content is moved from the one display unit to the other display unit via the third display unit.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine-learning models to classify content items and automatically organize the content items within a file structure according to their content item classifications. For instance, a content item classification system generates one or more content item classification models to determine classifications for content items and / or folders. In some instances, the classification system detects when new content items are added to a smart folder, determines destination folders to which the content items belong based on classifying the content items, and automatically moves the content items accordingly. In various instances, the classification system generates and utilizes a classification model to organize content items into dynamically-generated folders. In example implementations, the classification system generates and utilizes a classification model to automatically organize existing content items into existing folders.

The present disclosure relates to systems, methods, and non-transitory computer-readable media that utilize machine-learning models to classify content items and automatically organize the content items within a file structure according to their content item classifications. For instance, a content item classification system generates one or more content item classification models to determine classifications for content items and / or folders. In some instances, the classification system detects when new content items are added to a smart folder, determines destination folders to which the content items belong based on classifying the content items, and automatically moves the content items accordingly. In various instances, the classification system generates and utilizes a classification model to organize content items into dynamically-generated folders. In example implementations, the classification system generates and utilizes a classification model to automatically organize existing content items into existing folders.