Abstract:
The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating a content stack utilizing one or more machine-learning models. In some implementations, the disclosed systems generate and provide, to a user account, a content stack that includes content items corresponding to a topic prompt for the user account. For instance, in some implementations, the disclosed systems utilize content-based signals and account-based signals to generate an account-specific stack formulation graph that represents a plurality of content items and relationships of the content items with each other and with the user account. Additionally, in some implementations, the disclosed systems analyze the account-specific stack formulation graph to generate a content stack from the plurality of content items, the content stack comprising a set of content items corresponding to the topic prompt.
Abstract:
A testing system with methodology for background application control is described. In one embodiment, for example, a method for controlling a background application is provided that includes steps of: prior to or after a test application enters a background execution state, the test application sending a first message to a reflector application via an interprocess communication facility provided by an operating system executing the test application and the reflector application; in response to the reflector application receiving the first message, the reflector application sending a second message to the first application via the interprocess communication facility; wherein sending the second message causes the operating system to transition the test application from the background execution state to a foreground execution state.
Abstract:
The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and providing an aggregated feed interface that includes or presents aggregate summaries for thread data across multiple data feeds of a user account. In some embodiments, the disclosed systems generate an aggregate summary by extracting digital communications and other thread data from a variety of data feeds across multiple computer applications and by utilizing a summary generation model to generate an aggregate summary that combines and condenses the thread data from the different data feeds. For example, the disclosed systems determine topics associated with thread data from various data feeds and generates different aggregate summaries for different topics. The disclosed systems can further rank aggregate summaries and/or other digital communications to present within the aggregated feed interface according to an account-specific ranking algorithm resulting a customized per-account presentation of the aggregated feed interface.
Abstract:
In some embodiments, a method can involve identifying content items associated with a user account at a content management system that have a follow setting enabled for tracking changes to the content items. The method can involve monitoring, based on the follow setting, content modifications from other user accounts and read-unread status events from the user account. The method can involve identifying, for a content item, an event triggering a different read-unread status than a current read-unread status set on the user account for the content item. The method can further involve modifying the current read-unread status to the different read-unread status and updating the content item to include a visual indication of the different read-unread status.
Abstract:
A testing system with methodology for background application control is described. In one embodiment, for example, a method for controlling a background application is provided that includes steps of : prior to or after a test application enters a background execution state, the test application sending a first message to a reflector application via an interprocess communication facility provided by an operating system executing the test application and the reflector application; in response to the reflector application receiving the first message, the reflector application sending a second message to the first application via the interprocess communication facility; wherein sending the second message causes the operating system to transition the test application from the background execution state to a foreground execution state.
Abstract:
The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and providing an intelligent assistant interface that integrates with a large language model and a knowledge graph to adaptively change its appearance for presenting and interacting with different content items from various sources. In some embodiments, the disclosed systems provide an intelligent assistant interface that includes a set of interface elements selectable to interact with a large language model. Based on an input intent, the disclosed systems can utilize the large language model to analyze a knowledge graph for accessing and/or generating content items for display within the intelligent assistant interface.
Abstract:
In some embodiments, a method can involve identifying content items associated with a user account at a content management system that have a follow setting enabled for tracking changes to the content items. The method can involve monitoring, based on the follow setting, content modifications from other user accounts and read-unread status events from the user account. The method can involve identifying, for a content item, an event triggering a different read-unread status than a current read-unread status set on the user account for the content item. The method can further involve modifying the current read-unread status to the different read-unread status and updating the content item to include a visual indication of the different read-unread status.