Abstract:
An information processing method includes receiving first request information entered by a user, determining a first task engine for the first request information, where a first slot is set in the first task engine, extracting key information from the first request information based on the first slot, and if the key information fails to be extracted from the first request information based on the first slot, or if the key information is extracted from the first request information based on the first slot, but the extracted key information does not meet a condition, obtaining target key information from a shared parameter list of the user.
Abstract:
In a method for selecting pictures from a sequence of pictures of an object in motion, a computerized user device determines, for each picture in the sequence of pictures, a value of a motion feature of the object. Based on analyzing the values of the motion feature of the pictures in the sequence, the device identifies a first subset of pictures from the pictures in the sequence. The device then selects, based on a second selection criterion, a second subset of pictures from the first subset of pictures. The pictures in the second subset are displayed to a user for further selection.
Abstract:
An image super-resolution method includes preprocessing the low-resolution image to obtain a vertical gradient map, a horizontal gradient map, and a luminance map, which are used as three different dimensions of information to constitute a to-be-input feature map, performing size conversion on the to-be-input feature map to obtain an input feature map, performing nonlinear transformation on the input feature map to obtain an input feature map obtained after the nonlinear transformation, and performing weighted processing on the input feature map and the input feature map obtained after the nonlinear transformation, to obtain an output feature map, performing size conversion on the output feature map to obtain a residual map, and combining the low-resolution image and the residual map to obtain a high-resolution image.
Abstract:
A data information transaction method and system including receiving a query request that is sent by a terminal of a data requester and carries a query condition and a user characteristic identifier of a digital human that needs to meet the query condition, determining user characteristic information that is of a digital human and corresponding to the query condition and the user characteristic identifier, obtaining a query result, sending the query result to the terminal of the data requester, receiving a purchase request sent by the terminal of the data requester, and completing a transaction according to the purchase request.
Abstract:
In a recommendation-providing method in the field of artificial intelligence, an apparatus for generating recommendations obtains a recommendation system status parameter based on a plurality of historical recommended objects and a user behavior for each historical recommended object, such as clicks or downloads. The apparatus determines a target set among lower-level sets according to the recommendation system status parameter and a selection policy corresponding to an upper-level set, where the lower-level sets and upper-level set correspond to nodes on a clustering tree representing available to-be-presented objects, and each set corresponds to one selection policy. The apparatus then determines a target to-be-recommended object from the to-be recommended objects in the target set.
Abstract:
An image super-resolution method includes preprocessing the low-resolution image to obtain a vertical gradient map, a horizontal gradient map, and a luminance map, which are used as three different dimensions of information to constitute a to-be-input feature map, performing size conversion on the to-be-input feature map to obtain an input feature map, performing nonlinear transformation on the input feature map to obtain an input feature map obtained after the nonlinear transformation, and performing weighted processing on the input feature map and the input feature map obtained after the nonlinear transformation, to obtain an output feature map, performing size conversion on the output feature map to obtain a residual map, and combining the low-resolution image and the residual map to obtain a high-resolution image.
Abstract:
A content presentation method, a content presentation mode push method, and an intelligent terminal are used to intelligently present content to a user in different presentation modes according to different identified scenarios. The method includes acquiring, by an intelligent terminal, context data of a user, identifying a user use scenario according to the context data, determining a first presentation mode corresponding to the user use scenario, and presenting content to the user in the first presentation mode. In this way, the intelligent terminal can intelligently present the content to the user in different presentation modes according to different scenarios, thereby meeting a requirement of the user for a content presentation mode in different environments.
Abstract:
The present disclosure discloses a digital wallet-based transaction method. The method includes acquiring sales information of a target object, acquiring at least one payment solution for the target object, where when there are at least two target objects, the at least one payment solution is obtained after multiple types of valid preference information of the at least two target objects are crosswise combined, and the valid preference information is preference information that can be used when the target object is paid for using an account in a digital wallet of a user, and displaying the acquired at least one payment solution. According to the present disclosure, a payment solution is generated by crosswise combining multiple types of valid preference information of at least two target objects, thereby obtaining a payment solution that better meets a user demand, which gives full consideration to user benefits and has strong practicability.
Abstract:
A content explanation method and apparatus applied to content explanation includes identifying, by a content explanation apparatus, an emotion of the user, when identifying a negative emotion showing that the user is confused about delivered multimedia information, obtaining, by the content explanation apparatus, a target representation manner of target content in a target intelligence type, where the target content is content about which the user is confused in the multimedia information delivered to the user by an information delivery apparatus associated with the content explanation apparatus, and presenting, by the content explanation apparatus, the target content to the user in the target representation manner.
Abstract:
Embodiments of the present disclosure disclose a content presentation method, a content presentation mode push method, and an intelligent terminal, which are used to intelligently present content to a user in different presentation modes according to different identified scenarios. The method in the embodiments of the present disclosure includes acquiring, by an intelligent terminal, context data of a user, identifying a user use scenario according to the context data, determining a first presentation mode corresponding to the user use scenario, and presenting content to the user in the first presentation mode. In this way, the intelligent terminal can intelligently present the content to the user in different presentation modes according to different scenarios, thereby meeting a requirement of the user for a content presentation mode in different environments.