Groupon, Inc.

Salesforce Com, Inc.

Bytedance Inc.

David Gomez-Rosado

Tihomir Tsankov Georgiev

Sri Viswanath

Andrey Zaytsev

Robert James Skillington

David Scott Parker

Seth Harris

Josh Krall

Qi Li

Samuel Thorpe

Clive Richard Beavis

Gabe Nydick

Travis Chow

Amy Catherine Lee

Ayesha Mazumdar

Thanh Quach

Systems, apparatus, methods, and non-transitory media for providing prescient and adaptive point-of-sale services via electronic networks are discussed herein. Some embodiments may include a system with one or more servers. The one or more servers may be configured to generate digital consumer tokens and provide the digital consumer tokens to consumer devices for sharing with merchant devices. When a merchant device receives the digital consumer token, the merchant device may forward the digital consumer token to the one or more servers in exchange for consumer data to facilitate consumer service. In some embodiments, the one or more servers may be configured to provide point-of-sale interfaces that adapt to different consumer preferences or consumer device signals. Some embodiments may provide for consumer interfaces that allow consumers to manage their electronic identity at various (e.g., merchant) locations.

Prescient and adaptive point-of-sale systems

Provided herein are method, apparatus, and computer program products for facilitating a learning user interface. The interface may be presented as a plurality of dynamic icons representing a plurality of items. The interface may further be facilitated by accessing, by a processor, business data corresponding to the plurality of items. The interface may be facilitated by determining, by the processor, a visual bias for at least one of the plurality of dynamic icons based on the business data corresponding to the plurality of items and may be facilitated by applying, via the interface, the visual bias to the at least one of the plurality of dynamic icons.

Learning user interface

Provided herein are method, apparatus, and computer program products for facilitating a learning user interface. The interface may be presented as a plurality of dynamic icons representing a plurality of items. The plurality of dynamic icons may include at least one suggested dynamic icon representing at least one suggested item of the plurality of items and at least one secondary dynamic icon representing a secondary item of the plurality of items. The interface may be facilitated by determining, via a processor, a visual bias for the at least one suggested dynamic icon relative to the at least one secondary dynamic icon. The interface may be facilitated by applying the visual bias, via the interface, to the at least one suggested dynamic icon.

Provided herein are method, apparatus, and computer program products for facilitating a learning user interface. The interface may be presented as a plurality of dynamic icons representing a plurality of items. The interface may be facilitated by receiving, by a processor, a selection indication associated with one item of the plurality of dynamic icons. The interface may be facilitated by determining, via the processor, at least one suggested item of the plurality of items based on the selection indication. The interface may also be facilitated by determining a visual bias for at least one suggested dynamic icon representing the at least one suggested item relative to at least one secondary dynamic icon and may be facilitated by applying the visual bias, via the interface, to the at least one suggested dynamic icon.

Provided herein are a method and apparatus for facilitating a learning user interface. The interface may be presented as a plurality of dynamic icons representing a plurality of items. The interface may be facilitated by determining, via a processor, a visual bias for at least one of the plurality of dynamic icons, wherein the visual bias may include an at least partial ring extending about the at least one of the plurality of dynamic icons. The interface further may be facilitated by applying, via the interface, the visual bias to the at least one of the plurality of dynamic icons and in response to a user selection of such at least one dynamic icon, incrementing the visual bias, such that the incrementing of the visual bias is triggered by the selection of the at least one dynamic icon.

Incrementing a visual bias triggered by the selection of a dynamic icon via a learning user interface

Provided herein are method, apparatus, and computer program products for facilitating a learning user interface. The interface may be presented as a plurality of dynamic icons representing a plurality of items. The interface may further be facilitated by receiving a profile identifier and by accessing, via a processor, profile data associated with the profile identifier. The interface may be facilitated by determining, via the processor, a visual bias for at least one of the dynamic icons relative to another of the dynamic icons based on the profile data and may be facilitated by applying the visual bias, via the interface, to the at least one of the dynamic icons. Multiple interfaces may be applied to the same or different screens.

Learning user interface apparatus, computer program product, and method

Disclosed herein are system, method, and computer program product embodiments providing an adaptive image. An embodiment operates by receiving an indication of a size of an image area of an interface allocated to an image of a webpage. An image asset corresponding to the image area is determined. One of a plurality of groupings corresponding to the size of the image is selected from the image asset. The selected grouping is provided for display on the interface in the webpage.

Growing community of inventors

Petaluma, CA, United States of America

David Gomez-Rosado