Abstract:
Disclosed are database systems, computing devices, methods, and computer program products for identifying recurring sequences of user interactions with an application. In some implementations, a server of a database system provides a user interface of the application for display at a computing device. The database system stores data objects identifying a first plurality of user interactions with the application. The server receives information representing a second plurality of user interactions with the application. The server updates the database system to further identify the second user interactions. The server identifies a recurring sequence of user interactions from the first and second user interactions as resulting in a first target state of the application. The server updates the database system to associate the recurring sequence of user interactions with the first target state of the application.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for performing a synchronization of data. These mechanisms and methods for performing a synchronization of data can enable a more efficient synchronization, time and resource savings, an enhanced user experience, etc.
Abstract:
In accordance with embodiments, there are provided mechanisms and methods for performing a synchronization of data. These mechanisms and methods for performing a synchronization of data can enable a more efficient synchronization, time and resource savings, an enhanced user experience, etc.
Abstract:
Disclosed herein are system, method and computer readable storage medium for detecting space suitable for overlaying media content onto an image. The system receives a candidate image which may be an image or a video frame. The candidate image is then input into a neural network. The neural network may output coordinates and one or more dimensions representing one or more bounding boxes for inserting media content into the candidate image. The one or more bounding boxes may be transmitted with a request for a media content item to be displayed in a bounding box. In response to the request the media content item may be received, and the candidate image and the media content item overlaid on top of the candidate image within the bounding box may be displayed.
Abstract:
Disclosed are database systems, computing devices, methods, and computer program products for identifying recurring sequences of user interactions with an application. In some implementations, a server of a database system provides a user interface of the application for display at a computing device. The database system stores data objects identifying a first plurality of user interactions with the application. The server receives information representing a second plurality of user interactions with the application. The server updates the database system to further identify the second user interactions. The server identifies a recurring sequence of user interactions from the first and second user interactions as resulting in a first target state of the application. The server updates the database system to associate the recurring sequence of user interactions with the first target state of the application.
Abstract:
Systems, devices, and techniques are disclosed for conversation topic extraction. Text of a communication channel may be received. The text of the communication channel may be divided into conversation documents based on conversation threads of the communication channel. Phrases of the text of the conversation documents may be tokenizes. Topic phrases for the conversation documents may be determined by assigning importance scores to the tokenized phrases using unsupervised topic extraction. The topic phrases may be the tokenized phrases with the highest importance scores.
Abstract:
Disclosed herein are system, method, and computer program product embodiments for determining a user-preferred attribute type. An embodiment operates by maintaining user-presented attributes associated with user-presented records, wherein the user-presented attributes comprise one or more user-presented attribute types. After receiving a user-desired attribute of the user-presented attributes, a user-preferred attribute type of the user-presented attribute types is determined based on the user-presented attributes and the user-desired attribute. Thereafter, a new record and associated attribute are to be presented with the new attribute being of the user-preferred type.
Abstract:
Disclosed herein are system, method, and computer program product embodiments for generating custom user interfaces (UIs) for completing a task. One embodiment operates by obtaining contextual information associated with a user and an application on a user device operated by the user, where the application includes a plurality of UI elements. Then, determining the user is attempting to complete a first task within the application based on the contextual information and a prediction model. The embodiment further operates by obtaining a minimum set of UI elements required for the first task. Further, the embodiment operates by transmitting a first custom UI including the minimum set of UI elements for the first task to the user device for display to the user.
Abstract:
A textual properties model is used to infer values for certain font properties of interest given certain text-related data, such as rendered text images. The model may be used for numerous purposes, such as aiding with document layout, identifying font families that are similar to a given font families, and generating new font families with specific desired properties. In some embodiments, the model is trained from a combination of synthetic data that is labeled with values for the font properties of interest, and partially-labeled data from existing “real-world” documents.
Abstract:
Techniques are disclosed for automatically generating stencils for content of a user interface (UI) to be rendered. A computer system receives information specifying content of a user interface (UI) to be rendered. Based on this information, the computer system identifies one or more bounding regions of content within the UI, including analyzing metadata and a rendered version of the UI. The computer system then automatically generates, one or more UI stencils based on the identified bounding regions, that are displayable as progress indicators prior to rendering corresponding UI content. Once it has generated the stencils, the computer system stores information specifying the one or more UI stencils for use in the UI. Automatically generating stencils for UIs may advantageously reduce the time gap from development to deployment of these UIs while improving their perceived performance and, by extension, improving user experience.