Groupon, Inc.

Adaptive Path

Sebastian Heycke

Jonathan Gray Sandridge

Alexa Andrzejewski

Jamin Hegeman

Naveen Koorakula

Sakina Arsiwala

Jonas Werner Huckestein

Daniel Saffer

Rachel Hinman

Sri Subramaniam

Peter Bengt Karl Bergstrom

Adam John Muhlbauer

Kevin Tsoi

J Gray Sandridge

Juhyeong Yu

Kevin Sze Tsun Tsoi

William Breetz

Will Breetz

Embodiments provide computer systems, computer-executable methods and one or more non-transitory computer-readable media for offering one or more promotions to consumers using a promotion and marketing service. User input may be received from a first consumer interface associated with a first consumer, the user input including an interest indication relating to a first promotion. An association between the first consumer and a second consumer for sharing of promotions may be programmatically retrieved or generated. Based on the association, it may be determined whether to offer the first promotion to the second consumer based on one or more characteristics associated with the second consumer. Based on a determination that the first promotion should be offered to the second consumer, an indication may be outputted, the indication configured to cause an impression of the first promotion to be generated on a second consumer interface associated with the second consumer.

Method and system for recommending promotions to consumers

Techniques for providing consumer device interfaces are discussed herein. Some embodiments may include a system, including processing circuitry configured to: connect with a consumer device via a network; provide a search interface to the consumer device; receive one or more search parameters from the consumer device via the network; determine card scores for candidate cards based on the one or more search parameters, wherein each card includes an electronic marketing message indicating one or more items; determine a card score ranking based on the card scores; determine whether the consumer device is a mobile device; and in response to determining that the consumer device is a mobile device: determine mobile card layout; generate a mobile interface based on the mobile card layout; and provide one or more of the candidate cards to the mobile interface based on the card score ranking and the mobile card layout.

Mobile search

Systems, apparatus, and methods for providing promotion to networked consumer device groups are discussed herein. Some embodiments may include a system including one or more servers with processing circuitry configured to provide consumer interfaces to consumer devices that facilitate the sharing of a group promotion via a network between the consumer devices. The sharing may include the creation of the group promotion, the transmission of the group promotion to consumers via various communication channels, the tracking of consumer activity toward a group discount, among other things. For example, subsequent to purchase of a promotion via a consumer device, the processing circuitry may provide a sharing channel display to the consumer device for consumer selection of a communication channel for sharing the group promotion. The processing circuitry may create an impression of the group promotion compatible with the selected communication channel and provide the impression to other consumer devices.

Systems and methods for providing group promotions

The circle model powered suggestions and activities system provides a way to efficiently and effectively manage relationships. The circle model powered suggestions and activities system provides a way to model relationships for a user and assist the user with creating groupings of relevant constituents into context circles, provide suggested activities to members of the modeled relationships as well as facilitate the user with managing the user's relationships. The system analyzes public and private data, and tracks the user's interactions and the interactions of the constituents' of the user in order to generate suggested activities (including conversation starters) for the users and the constituents of the users. The system refines the semantic analysis and learning algorithms used to perform the analysis by analyzing the activities engaged in by the users and the constituents of the users related to suggested activities.

Circle model powered suggestions and activities

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Growing community of inventors

San Francisco, CA, United States of America

Sebastian Heycke