A data processing system implements receiving a request for user-centric topic recommendations from a computing device of a user in response to a user input in an application indicating that the user is attempting to assign a tag to a first content item in the application; obtaining a first set of user-centric topic recommendations from a first topic datastore based on a relevance ranking assigned to each of the topic recommendations; providing the first set of user-centric topic recommendations to the computing device; causing the computing device to display the first set of user-centric topic recommendations; receiving one or more second requests for user-centric topic recommendations; obtaining one or more second sets of user-centric topic recommendations from the first topic datastore based on the query string and the relevance ranking; and causing the computing device of the user to display the one or more second sets of user-centric topic recommendations.

A data processing system implements receiving a request for user-centric topic recommendations from a computing device of a user in response to a user input in an application indicating that the user is attempting to assign a tag to a first content item in the application; obtaining a first set of user-centric topic recommendations from a first topic datastore based on a relevance ranking assigned to each of the topic recommendations; providing the first set of user-centric topic recommendations to the computing device; causing the computing device to display the first set of user-centric topic recommendations; receiving one or more second requests for user-centric topic recommendations; obtaining one or more second sets of user-centric topic recommendations from the first topic datastore based on the query string and the relevance ranking; and causing the computing device of the user to display the one or more second sets of user-centric topic recommendations.

The disclosed technology relates to a system configured to detect a modification to a node in a tree data structure. The node is associated with a content item managed by a content management service as well as a filename. The system may append the filename and a separator to a filename array, determine a location of the filename in the filename array, and store the location of the filename in the node.

The disclosed technology relates to a system configured to detect a modification to a node in a tree data structure. The node is associated with a content item managed by a content management service as well as a filename. The system may append the filename and a separator to a filename array, determine a location of the filename in the filename array, and store the location of the filename in the node.

A method for processing sensor data includes assessing the sensor data of a sensor using metadata of the sensor as well as sensor data of at least one additional sensor using the metadata of the additional sensor, in order to receive assessed sensor data of the sensors. The method further includes merging the assessed sensor data in order to receive merged sensor data.

A method for processing sensor data includes assessing the sensor data of a sensor using metadata of the sensor as well as sensor data of at least one additional sensor using the metadata of the additional sensor, in order to receive assessed sensor data of the sensors. The method further includes merging the assessed sensor data in order to receive merged sensor data.

Methods, apparatus, systems, and articles of manufacture are disclosed for proactive data routing. An example apparatus includes at least one memory, machine-readable instructions, and processor circuitry to execute the machine-readable instructions to at least execute a machine-learning model to output a first data routing path in a network environment based on metadata associated with an event in the network environment. The processor circuitry is further to, after a detection of a change of the first data routing path to a second data routing path, retrain the machine-learning model to output a third data routing path based on the second data routing path. The processor circuitry is additionally to cause transmission of a second message to a first node based on the third data routing path after an identification of the event.

The present disclosure provides new and innovative systems and methods for profiling bias for data sources, specifically publishers of news articles. A variety of embodiments include a computer-implemented method for profiling a data source includes obtaining an indication of a first data source, determining visitor and keyword data for the first data source, determining metadata for the first data source, generating a source similarity graph for the first data source, the source similarity graph indicating at least one similar data source and, for each similar data source, a bias score for the similar data source, classifying the first data source based on the bias scores for the at least one similar data source, generating a notification indicating the first data source and the classification of the first data source, and providing the notification.

The present disclosure provides new and innovative systems and methods for profiling bias for data sources, specifically publishers of news articles. A variety of embodiments include a computer-implemented method for profiling a data source includes obtaining an indication of a first data source, determining visitor and keyword data for the first data source, determining metadata for the first data source, generating a source similarity graph for the first data source, the source similarity graph indicating at least one similar data source and, for each similar data source, a bias score for the similar data source, classifying the first data source based on the bias scores for the at least one similar data source, generating a notification indicating the first data source and the classification of the first data source, and providing the notification.

A method implemented by a computing entity includes obtaining control over a token representing a product component of components that are required for manufacturing of a product. The method further includes evaluating data with regards to an available volume level to produce inventory availability for the product component and subcomponents. When the inventory availability fails to provide the available volume level to facilitate the manufacturing of the product, the method further includes modifying a first set of smart contracts to produce an updated first set of smart contracts that facilitates subsequent inventory availability for the product component and the subcomponents to provide the available volume level to facilitate the manufacturing of the product. The method further includes generating an updated token in accordance with a securely passing process to include the updated first set of smart contracts.