Abstract: A user interface (UI) feature assists users in comparing items and making purchase decisions. One or more attributes for results of a search query are dynamically identified and ranked for presentation within the UI so that a user easily compares products based on features of interest. Additionally, other content of the UI, such as product images, rankings, etc. are dynamically ranked based on the search query and/or user context and presented in an order of relevance so that the user quickly identifies information for making meaningful shopping decisions.

Abstract: A system configured to generate and present hierarchical notifications is provided. The system may generate a notification structure comprising a plurality of notifications associated with a user, and output a top-level composite notification based on the notification structure. The system may receive a user command in response to the composite notification, and further output a lower-level composite notification based on the user-selected portion of the top-level composite notification identified by the user command. Further, the system may modify the notification structure based on the user command.

Abstract: Techniques are provided herein for utilizing a push notification action engine (e.g., a push notification action engine of a client device). The techniques include receiving a push notification comprising a structured data payload, the structured data payload comprising a specification of content to be rendered on a display of the client device. The push notification action engine generates display information in accordance with the specification and sends the display information to the operating system of the client device. Sending the display information to the operating system may cause the operating system to render a user interface component on the display of the client device. The push notification action engine may receive user input associated with the user interface component and cause execution of one or more workflows in response to receipt of the user input.

Abstract: Techniques for providing a messaging plan may be provided. A message that conforms to a channel agnostic format may be received. In an example, a messaging plan that includes a channel for delivering the message may be determined based at least in part on a score determined by a machine learning module utilizing metrics of a user. The message may be provided to the user according to the messaging plan. The messaging plan may be updated for subsequent messages based at least in part on updated metrics of the user received in response to the user interacting with the message.