Utilization of a selection ring to select icons is provided herein. The selection ring is presented in a first graphical user interface. In response to receiving a first selection of the selection ring by a user, a plurality of icons are presented in the first graphical user interface. User manipulation of a position of the selection ring within the first graphical user interface is received, where that manipulation occurs without altering a location of the plurality of icons being presented within the first graphical user interface. In response to receiving a second selection associated with the selection ring, an icon from the plurality of icons is selected based on the position of the selection ring within the first graphical user interface. A second graphical user interface is then presented to the user based on the selected icon.

A system for selecting an image to accompany text from a user in connection with a social media post. The system is capable of receiving text from the user, identifying one or more search terms based on the text, identifying candidate images from images in one or more image databases using the search terms, presenting one or more candidate images to the user, receiving from the user a selected image from the one or more candidate images, generating the social media post comprising the selected image and the user-submitted text, and transmitting the social media post for display.

A system for selecting an image to accompany text from a user in connection with a social media post. The system is capable of receiving text from the user, identifying one or more search terms based on the text, identifying candidate images from images in one or more image databases using the search terms, presenting one or more candidate images to the user, receiving from the user a selected image from the one or more candidate images, generating the social media post comprising the selected image and the user-submitted text, and transmitting the social media post for display.

Personalized sensory services are provided to mobile devices. As a sensor monitors an area of surveillance, the sensor may detect a passing mobile device. The sensor may thus ally itself to the passing mobile device and provide personalized sensory operations.

Personalized sensory services are provided to mobile devices. As a sensor monitors an area of surveillance, the sensor may detect a passing mobile device. The sensor may thus ally itself to the passing mobile device and provide personalized sensory operations.

Methods and systems for curating notifications from unfollowed accounts are described herein. The system tracks that a first account previously followed a second account and subsequently unfollowed the second account. The system identifies an interest of the first account and monitors the activities of the second account for activity that matches the interest. If there is a match between the interest and an activity of the second account, the system notifies the first account of the activity. These methods and systems provide the user with relevant information from unfollowed accounts.

In a data processing method, a processing device performs encoding, based on spatial position data and time position data of a trajectory point of a trajectory according to an encoding rule of a hybrid code of a preset level in an index database, to obtain a hybrid code of each trajectory point. The hybrid code includes temporal information and spatial position information of the trajectory point. The processing device then queries a similar trajectory in the index database based on the hybrid code of each trajectory point. The index database includes hybrid codes of a plurality of levels, and the index database includes hybrid codes with trajectory information that includes a trajectory identifier and a trajectory length.

In a data processing method, a processing device performs encoding, based on spatial position data and time position data of a trajectory point of a trajectory according to an encoding rule of a hybrid code of a preset level in an index database, to obtain a hybrid code of each trajectory point. The hybrid code includes temporal information and spatial position information of the trajectory point. The processing device then queries a similar trajectory in the index database based on the hybrid code of each trajectory point. The index database includes hybrid codes of a plurality of levels, and the index database includes hybrid codes with trajectory information that includes a trajectory identifier and a trajectory length.

The present disclosure discloses a method and apparatus for displaying map points of interest, and an electronic device, relates to the field of artificial intelligence, and in particular to intelligent transportation. A specific implementation solution includes: acquiring features corresponding to multiple candidate points of interest; determining predicted popularity of the multiple candidate points of interest according to a mapping relation between each feature and each popularity and the features of the multiple candidate points of interest, and the mapping relation is determined based on the frequency of operations performed by a user for each sample point of interest in a historical time period; and displaying the candidate points of interest of which predicted popularity meets a preset popularity condition in a map. Therefore, the accuracy of the displayed points of interest may be enhanced.

The present disclosure discloses a method and apparatus for displaying map points of interest, and an electronic device, relates to the field of artificial intelligence, and in particular to intelligent transportation. A specific implementation solution includes: acquiring features corresponding to multiple candidate points of interest; determining predicted popularity of the multiple candidate points of interest according to a mapping relation between each feature and each popularity and the features of the multiple candidate points of interest, and the mapping relation is determined based on the frequency of operations performed by a user for each sample point of interest in a historical time period; and displaying the candidate points of interest of which predicted popularity meets a preset popularity condition in a map. Therefore, the accuracy of the displayed points of interest may be enhanced.