Amazon Technologies, Inc.

Prasanth Saraswatula

Ahmed Aly Saad Ahmed

Yash Chaturvedi

Steven James Cox

Yongjun Wu

Muhammad Raffay Hamid

Charles Benjamin Waggoner

James Mutton

Steve Huynh

Mohamed Kamal Omar

Amit Santosh Jain

Benjamin Raphael Forman

Jingxiang Chen

Alexander Ratnikov

Travis Silvers

Andrew James McVeigh

Hani Suleiman

Amjad Y A Abu Jbara

Amjad YA Abu Jbara

Systems, devices, and methods are provided for determining contextually relevant user-based product recommendations based on scene information. In at least one embodiment, techniques described herein may be used to determine, using a first machine-learning model, first information associated with a first object within a first image of digital content, determine, using a second machine-learning model, similarity scores between the first object and a first plurality of products of an online purchasing system, detect, in association with the first image of the digital content, performance of a first computer-based action by a user, determine, using a third machine-learning model and based on contextual data of the user, one or more affinity scores for the user, select a first product based on the one or more affinity scores, and present a recommendation to the user to perform a second computer-based action in association with the first product.

Contextually relevant user-based product recommendations based on scene information

Some implementations include methods for generating a portable entitlement for a digital asset and may include generating a portable entitlement to a digital asset based on a request initiated by a first user having an entitlement to the digital asset, the portable entitlement to enable the first user to access the digital asset using a second computing device of a second user, the request initiated using a first computing device of the first user, the portable entitlement having a limited lifetime; and terminating the second computing device from accessing the digital asset based on one or more of determining that a proximity between the first and second computing devices violate the distance threshold and the lifetime of the portable entitlement has expired.

Portable entitlement

Techniques are described for automating virtual placements in video content.

Virtual product placement

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Bellevue, WA, United States of America

Prasanth Saraswatula