Amazon Technologies, Inc.

Sean Michael Scott

Douglas J Gradt

Eva Manolis

Devraj Varadhan

Amy Bates

Maren Marie Costa

Doug Irvine

Nimrod Hoofien

Gianna Lise Puerini

Brent Allen Vincent

Ryuichi Hirano

Aaron Michael Donsbach

Leo Parker Dirac

Blair Livingstone Hotchkies

Anthony T Chor

Anoop Balakrishnan

Paul Christopher Cerda

Min Chong

Jennifer R O'Twomney

Marina A Pai

Bradley Scott Bowman

Kevin Andrew Granade

Udip Pant

Michael Paul Touloumtzis

Max Lee Kanter

Michael Leo Weiss

J Nathaniel Sloan

Todd A Heimes

John P Simons

Ralph Howard Edson, Iii

Christopher J Vigder

Scott M Waters

Mark Chien

Michael Crutcher

Christopher C Jones

Andrew Stubbs

Tom Killalea

Ennio Claretti

Francis J Kane, Jr

Robert Brian Curtis

Brett Allen Skaloud

Nicolas Guillaume Hostein

Kamlesh T Talreja

Nicolas Kurczewski

Derek Gaw

Gregor Alan Moulton

Gregory Katz

Umair Bashir

Alex T Rosalez

Qiang Zhao

R Shawn Halpenny

Shahzad Umar

Gregory Lea Orton

Peter Johnson

Aman Agarwal

Francis J Kane

Methods and systems for selecting and displaying items includes causing the display of a large image of a selected item, a plurality of view icons indicative of different views of the selected item, and item details associated with a selected item. After the customer selects a view and/or color for the large image and mouses over the image, a zoom box appears and a corresponding magnified image window appears with a magnified image of the zoom box image for the selected view and color of the item.

Method and system for displaying items

An automated package retrieval system is provided. The automated package retrieval system includes a hub apparatus that includes multiple docking stations for multiple delivery devices, a power supply unit coupled to the hub apparatus, and a controller. The controller is configured to instruct at least one of the delivery devices to travel to a location to deliver an item ordered by a user. Once it is determined that the user has not retrieved the item from the delivery device, the delivery device is instructed to return to the hub apparatus. In response to detecting the user in proximity to the hub apparatus after the delivery device has returned to the hub apparatus, the user is provided with access to a storage compartment of the delivery device.

After hours package pick up from a robot

Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.

Machine learning based content delivery

Disclosed are various embodiments for facilitating transition in a rendering of a network page given a resizing of a view port of a viewing window on a client device. The client device renders a network page in a view port on a display device, the network page defining a plurality of view port resolution ranges. The client device then implements a first level of changes in a display of the network page in response to resizing of the view port within a respective one of the view port resolution ranges. The client device subsequently implements a second level of changes in the display of the network page in response to resizing of the view port through a transition threshold defined between a respective pair of the view port resolution ranges.

View port resolution independent network pages

Delivery autonomous ground vehicle

Disclosed are various embodiments that provide immersive multimedia views for items. An immersive view for an item is rendered upon a display. The immersive view features an image of the item surrounded by a user interface layer that provides information about the item. The user interface layer is hidden when a cursor moves onto a first portion of the immersive view corresponding to the image of the item. The image of the item is replaced with a video stream of the item when the cursor moves onto a second portion of the immersive view corresponding to the image of the item.

Immersive multimedia views for items

Disclosed are various embodiments for location based call routing to a subject matter specialist. A call request is obtained from a computing device. The call request pertains to a topic and includes a current location of the computing device. A topic specialist for the topic is identified based at least in part upon the current location of the computing device. The call request is completed by establishing a call between the computing device and a computing device used by the topic specialist.

Location based call routing to subject matter specialist

Disclosed are various embodiments for providing separate views for items. A network page providing a summary view of at least a portion of a pool of items is encoded in a computing resource for rendering by a client computing device. A window superimposed over at least a portion of the summary view is rendered by the client computing device. The summary view is deemphasized relative to the window that is superimposed. The window provides a separate view for examination of one item from the pool of items, and the window facilitates a serial examination of the pool of items.

Providing separate views for items

Various embodiments of a system and method for generating recommendations based on similarities between location information of multiple users are described. Various embodiments may include a location-based recommendation system configured to, for each given user of a group of users, determine the given user has traveled to one or more respective locations and determine one or more characteristics of the given user. The system may also determine that a particular user has traveled to or will travel to each of one or more particular locations. The system may further determine a similarity between the one or more particular locations and one or more locations to which specific ones of the group of users have traveled. The system may generate a recommendation for the particular user based on at least some of the determined characteristics of the specific ones of the group of users for which the similarity was determined.

System and method for generating recommendations based on similarities between location information of multiple users

Disclosed are various embodiments relating to generating profile-based groups to obtain suggestions regarding a topic. Third party profiles corresponding to third party users are identified based on a similarity to a profile associated with a client device of a user. A network page that is configured to facilitate discussion regarding a topic is generated and transmitted to a client device and third party devices associated with the third party users. Suggestions regarding the topic may be received from the third party devices via the network page.

Generating item suggestions from a profile-based group

Disclosed are various embodiments for prefetching of objects referenced on a network page. An encoded network page referring to at least one item is retrieved. The same item is included on a second network page. In response to an indication of user interest in the item on the first network page, at least an initial portion of a video resource associated with the indicated item and included on the second network page is retrieved. In response to a user selection of the same item, the retrieved initial portion of the video resource is rendered on the second network page.

Prefetching of video resources for a network page

Growing community of inventors

Sammamish, WA, United States of America

Sean Michael Scott