Amazon Technologies, Inc.

James Stevenson

Siddharth Sriram

Andrew J Watts

Jim L Dantzler

Kamlesh T Talreja

Cameron Janes

Guido Beat Zgraggen

Jianfeng Lin

Benjamin Lev Snyder

Yi Sun

Zhen Zuo

Xiangdong Qian

Aritra Biswas

Yikai Ni

Nabajyoti Patowary

Simone Elviretti

Jinmiao Fu

Gaurav Dasgupta

Liliane Jeanne Barbour

Rasika Sanjay Jangle

Vikash Pansari

Phani Harish Wajjala

Paul Hercules Mandac Rivera

Dheepikaa Natarajan

Daniel Patrick Weaver

In response to a programmatic interaction, respective representations of items of an initial result set are presented to an item consumer. One or more result refinement iterations are then conducted. In a given iteration, one or more feedback indicators with respect to one or more items are identified, a machine learning model is trained using at least the feedback indicators to generate respective result set candidacy metrics for at least some items, and the metrics are then used to transmit additional items for presentation to the item consumer.

Artificial intelligence system for real-time visual feedback-based refinement of query results

Systems, methods, and computer-readable media are disclosed for systems and methods for automated detection and extraction of nutrition information for food products. Example methods may include identifying at least a first image comprising nutritional data, generating a second image including a first portion of the first image, and generating a third image including a second portion of the first image. Some embodiments may include generating a fourth image using the second image, generating a fifth image using the third image, determining, using at least one of the second image and the fourth image, the first text, determining, using at least one of the third image and the fifth image, the second text, and causing at least a portion of the first text and a portion of the second text to be stored in association with a product identifier.

Automated detection and extraction of nutrition information for food products

Technology is described for providing search results based on a search query. The method may include receiving the search query. A user interest based on the search query may also be identified. The user interest may be compared with currently trending interests. Interest items based on the currently trending interests that relate to the user interest may be identified.

Interest related search results

Disclosed systems and methods provide media content through an electronic commerce server. In one implementation, a method for providing electronic content is provided. The method includes receiving an order of a user. The order of the user may comprise a request of the user for a physical copy of media content. The commerce server may determine whether to provide to the user an electronic copy of the media content based at least on the order. Further, a request to access the electronic copy of the media content is received from the user. The method further grants the user access to the electronic copy of the media content based at least on the request to access the electronic copy of the media content.

Providing electronic content in association with a request for physical content

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Seattle, WA, United States of America

James Stevenson