Amazon Technologies, Inc.

Sean William Blakey

David M Lifson

Ian A McAllister

Samvid Hariram Dwarakanath

Bryant Richard Casteel

Bruce John Cooper

Scott Allen Mongrain

Teresa E Batten

Eric F Gilmour

Clayton A Williams

Mohit Sharma

Data storage techniques for services in a network are described herein. In an example, a computer system determines a mapping between a first data schema associated with first data storage by a first service in a first data store and a second data schema associated with second data storage by a second service in a second data store. The computer system receives an event associated with an element and determines, based on the mapping and the event, an operation to be performed on a first attribute of the element that is stored in the first data store the second data store. The computer system generates, based on the mapping, notifications indicating a time for the operation associated with the first attribute to be performed by the first service and the second service. The computer system sends the notifications to the first service and to the second service.

Data manipulation techniques for services in a network

An inventory system includes a first inventory holder positioned in a first climate-controlled zone of a workspace that is at a below-freezing temperature. The system also includes a second inventory holder positioned in a second climate-controlled zone that is at an above-freezing refrigerated temperature. The system also includes a third inventory holder positioned in a third climate-controlled zone that is at ambient conditions. The system also includes a management module operable to receive an order for the first inventory item, an order for the second inventory item, and an order for the third inventory item. The management module instructs a first mobile drive unit to transport the first inventory holder to an inventory station, instructs a second mobile drive unit to transport the second inventory holder to the inventory station, and instructs a third mobile drive unit to transport the third inventory holder to the inventory station.

Inventory system with climate-controlled inventory

A system includes a climate-controlled inventory holder, a mobile drive unit, and a management module. The climate-controlled inventory holder is configured to control a climate of one or more inventory items stored by the inventory holder. The mobile drive unit is operable to transport the climate-controlled inventory holder from a first location to a second location based at least in part upon one or more instructions received from a management module. The management module is operable to receive an order for an inventory item, determine that the inventory holder stores the inventory item, and instruct the mobile drive unit to transport the climate-controlled inventory holder from the first location to the second location.

Activity monitoring and replay techniques monitor and replay user consumption of content. To perform one of the techniques, event data from users that reflects the consumption of content is collected. The collected event data is used to infer one or more features in the content that are consumed by the user. The consumption of the one or more features by the user is replayed.

Monitoring and replaying user consumption of content

Activity monitoring techniques monitor user consumption of content. To perform one of the techniques, event data from users that reflects the consumption of content is collected. The collected event data is analyzed to infer a feature within the content that the users are presumed to have consumed. Based on the analysis, an estimated actual impression measurement that reflects aggregate consumption of the feature within the content by the users is determined.

Monitoring user consumption of content

Relative ranking of items is performed based on a subjective attribute of the items. A user interface that displays the relative ranking of the items includes an axis that corresponds to the subject attribute. The user interface further includes a display section that displays representations of the items along the axis according to rankings relative to the subjective attribute. The display section is also to present one or more additional items in response to customer input.

Relative ranking and discovery of items based on subjective attributes

Relatively ranking items based on subjective attributes of the items, and for discovering these relatively ranked items. A voting server as described may include a voting application that receives an indication of an item of interest to a customer. Based on preferences indicated by customers, the voting application may rank the item and one or more other items for the subjective attribute. The voting application may also send data representing a user interface to a client system, with the user interface including representations of the item and the other item. The user interface may arrange the representations of the items along an axis corresponding to the subjective attribute.

An activity monitoring strategy monitors a user's consumption of content at a user device. To perform this operation, the activity monitoring strategy collects layout data that reflects the layout of the content as presented by the user device. The activity monitoring strategy then collects event data that reflects the user's consumption of the content. The activity monitoring strategy can use client-side executable functionality to implement the collecting of layout data and event data. The activity monitoring strategy asynchronously sends the collected data to a data analysis module where it is analyzed to determine features in the content that the user is presumed to have consumed. The activity monitoring strategy can apply the results of its analysis to modify the content, set the price charged for display of the features, etc.

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Seattle, WA, United States of America

Sean William Blakey