IDENTIFYING RECURRING SEQUENCES OF USER INTERACTIONS WITH AN APPLICATION

    公开(公告)号:US20250005017A1

    公开(公告)日:2025-01-02

    申请号:US18770116

    申请日:2024-07-11

    Inventor: Sönke Rohde

    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.

    One-to-Many Automatic Content Generation

    公开(公告)号:US20230129431A1

    公开(公告)日:2023-04-27

    申请号:US17649016

    申请日:2022-01-26

    Abstract: Techniques are disclosed for automatically generating new content using a trained 1-to-N generative adversarial network (GAN) model. In disclosed techniques, a computer system receives, from a computing device, a request for newly-generated content, where the request includes current content. The computer system automatically generates, using the trained 1-to-N GAN model, N different versions of new content, where a given version of new content is automatically generated based on the current content and one of N different style codes, where the value of N is at least two. After generating the N different versions of new content, the computer system transmits them to the computing device. The disclosed techniques may advantageously automate a content generation process, thereby saving time and computing resources via execution of the 1-to-N GAN machine learning model.

    Automatic user interface data generation

    公开(公告)号:US11379189B1

    公开(公告)日:2022-07-05

    申请号:US17354439

    申请日:2021-06-22

    Abstract: Techniques are disclosed relating to automatically synthesizing user interface (UI) component instances. In disclosed techniques a computer system receives a set of existing UI elements and a set of design rules for the set of existing elements, where design rules in the set of design rules indicate one or more allowed states for respective UI elements in the set of existing UI elements. The one or more allowed states may correspond to one or more visual characteristics. Using the set of existing UI elements, the computer system may then automatically generate a plurality of UI component instances based on the set of design rules, where a respective UI component instance includes a first UI element in a first allowed state. The computer system may then train, using the plurality of UI component instances, a machine learning model operable to automatically generate UI designs.

    Automatic user interface data generation

    公开(公告)号:US11074044B1

    公开(公告)日:2021-07-27

    申请号:US17147053

    申请日:2021-01-12

    Abstract: Techniques are disclosed relating to automatically synthesizing user interface (UI) component instances. In disclosed techniques a computer system receives a set of existing UI elements and a set of design rules for the set of existing elements, where design rules in the set of design rules indicate one or more allowed states for respective UI elements in the set of existing UI elements. The one or more allowed states may correspond to one or more visual characteristics. Using the set of existing UI elements, the computer system may then automatically generate a plurality of UI component instances based on the set of design rules, where a respective UI component instance includes a first UI element in a first allowed state. The computer system may then train, using the plurality of UI component instances, a machine learning model operable to automatically generate UI designs.

    Correlating user interface design types to user groups

    公开(公告)号:US10896049B2

    公开(公告)日:2021-01-19

    申请号:US16393017

    申请日:2019-04-24

    Abstract: Techniques are disclosed relating to providing customized user interfaces to different groups of users. A computing system may determine a plurality of different design types for a user interface and cause display of user interfaces that exhibit the different design types to different users. Based on user interactions with the user interfaces, the system may generate one or more metrics. The system may and may determine attribute values for attributes of users who interact with the user interface. The system may perform one or more correlation procedures to correlate the attribute values with one or more of the metrics. In disclosed embodiments, the computing system generates groups of users based on the correlation. The computing system may assign at least one of the design types to at least one of the groups of users based on the correlation.

    IDENTIFYING RECURRING SEQUENCES OF USER INTERACTIONS WITH AN APPLICATION

    公开(公告)号:US20200019544A1

    公开(公告)日:2020-01-16

    申请号:US16580846

    申请日:2019-09-24

    Inventor: Sönke Rohde

    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.

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