Adobe, Inc.

Jakub Plichta

Oliver Brdiczka

Allan Morgan Young

Thomas T Donahue

Joerg Beckert

Tim Kukulski

Kyoung Tak Kim

Chun Hao Wang

Gabriel Palma Coelho

Keenan Villani-Holland

Neha Gautam

The present disclosure relates to systems, methods, and non-transitory computer-readable media that recommends application features of software applications based on in-application behavior and provides the recommendations within a dynamically updating graphical user interface. For instance, in one or more embodiments, the disclosed systems utilize behavioral signals reflecting the behavior of a user with respect to one or more software applications to recommend application features of the software application(s). For instance, in some cases, the disclosed systems recommend an application feature related to recent activity user, an application feature from a curated recommendation list that has yet to be viewed, and/or an application feature determined via machine learning. In some embodiments, the disclosed systems dynamically update a graphical user interface of a client device in real time as the user utilizes the client device to access and navigate the software application(s) to display these recommendations.

Generating personalized in-application recommendations utilizing in-application behavior and intent

Various embodiments of a system and methods for touch gesture recognition are described. A software developer may create a set of custom touch gestures by training a gesture development tool. A new touch gesture may be input to the tool by repeatedly executing the gesture on a touch-enabled device or by depicting parameters of the gesture in a graphical language. A developer may provide a software command associated with the gesture. A unique, software-recognizable gesture descriptor may be created to represent each gesture. The gesture descriptor, a unique identifier of the gesture descriptor and the command associated with the gesture may all be stored as an entry in a configuration file. The file may be embedded in a software application and may be used by a gesture classification module to translate user touch gestures applied to the software application into commands to be executed by the software application.

System and method for developing and classifying touch gestures

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San Anselmo, CA, United States of America

Jakub Plichta