Amazon Technologies, Inc.

Muneer Mirza

Sajeeva Lakmal Bandara Pallemulle

Ameet Nirmal Vaswani

Christopher Allen Suver

Almann T Goo

Camilla De Oliveira Penna Tavares

Eric Michael Schurman

Justin Jon Derby

Andrew James Guenther

Saral Jain

Charles H Bell

Alexander Grant Douglas

Generally described, one or more aspects of the present application correspond to a content rendering system. A content management service hosts content on behalf of the content provider. The content management service includes one or more rendering engines that receive content from the one or more content providers that are registered with the content management service. Each content rendering engine can be configured to receive a content resource and generate at least one piece of processed content that can be rendered on a user device.

Network-based content rendering

A system configured to determine interactive elements for non-traditional computing devices is disclosed. The system receives a portion of a webpage with a first interactive element and an element identifier. The system determines that a threshold number of interactive actions are associated with a second interactive element in a data store. The threshold number of interactive actions indicates that the second interactive element is selectable to perform an action in response to an interaction by a user. The system determines that the first interactive element is similar to the second interactive element by a similarity measure. The system provides to a computer, a selectable option associated with the element identifier of the first interactive element. The selectable option is for selection by an indirect input to the computer and for causing the action associated with the first interactive element upon the selection of the selectable option.

Interactive content element presentation

Systems, methods, and computer-readable media are described for automated optimization of one or more pages for display by a mobile computing device. Based on an analysis of the series of actions taken by a number of different users when interacting with one or more pages, a system may group the users into two or more groups based on similarities in the users' action paths. The system may then generate an optimized page template for the group that includes identifiers of the portions of at least one page determined to be frequently accessed or otherwise of interest to the users in the group, and that excludes at least some other portions of the at least one page. This template may be subsequently used to generate a modified version of a page for display on a mobile computing device operated by a member of the group.

Network content layout using an intermediary system

Systems, methods, and computer-readable media are described for capturing detailed data access audit trails identifying the portions of pages or other files accessed by users from a specific network content source. A graphical representation of a page or file may be rendered by an intermediary system, and an initial portion of the graphical representation may be sent to a user device along with control data. The user device may send interaction data to the intermediary system as the user interacts with the page or file, which may result in additional graphical content being delivered to the user device by the intermediary system. In the event of a corporate data leak or for other data access audit purposes, a system administrator may search stored interaction data to identify which users accessed or viewed specific information within one or more pages or files.

Data security and data access auditing for network accessible content

In one aspect, the disclosure teaches a system configured to receive from a device a request for content including an identifier of a first set of dictionaries available locally at the device. The system is also configured to select a second set of dictionaries to compress content requested by the device based at least on the set of dictionaries available at the device, the second set of dictionaries selected from a third set of local system dictionaries available at the system.

Compression dictionary systems and methods

Network accessible content, including but not limited to web pages, can be analyzed to identify characteristics of the content. Historical content requests associated with users and/or other user-specific information can be analyzed to identify user interests. Content can then be provided or recommended to users based on content characteristics and user interests. The content that is provided or recommended may be trending content that has at least a threshold level of popularity, became popular recently, and/or is associated with a threshold level of social network activity.

Identification of trending content using social network activity and user interests

A system configured to generate a set of compression dictionary snapshots. The system can determine a subset of a set of compression dictionary definitions, the subset having a first subset comprising one or more definitions that have changed since a time of a previous snapshot and a second subset having one or more definitions associated with a predetermined portion of the dictionary. The system can further generate and store snapshots based at least in part on the determined subset of one or more definitions and determine a plurality of active snapshots from the set of snapshots such that the set of one or more definitions is included in the plurality of active snapshots.

Compression dictionary snapshot system and method

A system for dictionary generation that can generate a set of candidate dictionaries based at least in part on subsets of content, where candidate dictionaries of the set of candidate dictionaries are generated based at least in part on a different subset of the content. The system can further use candidate dictionaries of the set of candidate dictionaries to compress the content and can identify one or more dictionary quality metrics for candidate dictionaries of the set of candidate dictionaries based at least in part on the respective compression of the content by candidate dictionaries of the set of candidate dictionaries.

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Bellevue, WA, United States of America

Muneer Mirza