Amazon Technologies, Inc.

D-wave Systems Inc.

Ivan King Yu Sham

Peter F Hill

Brett Richard Taylor

Samuel John Young

Ameet Nirmal Vaswani

David Andrew Killian

Ranganath Atreya

William G Macready

Andrew Hayden

Aakarsh Nair

Patrick Joseph Armstrong

Rohit Krishna Kumar

Michael Coury

Steven Michael Reddie

Scott Zachary Bressler

Ian William Stewart

Saral Jain

Features are disclosed for analyzing requests for network accessible content, including but not limited to web pages, to determine which topics and other characteristics are popular or are gaining in popularity ('trending'). Content items or sources may be profiled to determine characteristics that two or more content items or sources may have in common. Content requests from multiple client devices may be tracked and analyzed to determine the trending or popular characteristics. Data feeds or reports regarding the summarized content requests may be generated and distributed to content servers and other entities. The data feeds may be used to tailor content, such as by highlighting or featuring content associated with the most-requested content characteristics, or utilizing demographic data to tailor content for different users.

Determining popular and trending content characteristics

Systems and methods can optimize or attempt to optimize portions of scripts that might be overlooked by traditional compilers. These systems and methods can include a code analysis module that develops an aggregate execution profile for a script by aggregating individual execution profiles of a plurality of users. These systems and methods can use the aggregate execution profile to emphasize aspects of the script that can be optimized for a plurality of users, enabling improved script performance for users.

System for profiling page browsing interactions

A system and process are disclosed for providing users with page previews during page loading events, such that the delay experienced before the display of page content is reduced. The previews may include screenshots of the pages or of portions thereof, and may be generated periodically and cached by the system for delivery to user devices. The process of generating and delivering the previews via the Internet or some other network may be implemented partly or wholly within an intermediary system that sits logically between the user devices and content servers. The process may be used with existing browsers without the need for any browser modifications, or may be used with a 'preview-aware' browser that includes special program code for providing page previews.

Delivery and display of page previews during page retrieval events

Features are disclosed for analyzing requests for network accessible content, including but not limited to web pages, to determine which topics and other characteristics are popular or are gaining in popularity ('trending'). Content items or sources may be profiled to determine characteristics that two or more content items or sources may have in common. Content requests from multiple client devices may be tracked and analyzed to determine the trending or popular characteristics. Data feeds or reports regarding the summarized content requests may be generated and distributed to content servers, advertisers, and other entities. The data feeds may be used to tailor content, such as by highlighting or featuring content associated with the most-requested content characteristics, or utilizing demographic data to tailor content for different users.

Features are disclosed for determining a sequence of content, including but not limited to web pages, that a user of a client device is likely to request or otherwise find interesting based on previous content requests (of that user and/or other users), and to making the sequence of content available for viewing on the client device. The identified pattern may later be used as a basis to prefetch the content, and to make the sequence of prefetched content available on the client device as a 'suggested browsing session.' The suggested browsing session may include a sequence of content pages typically requested by the user, and/or may include linked pages and recommendations that the user is otherwise likely to find interesting.

Reproducing user browsing sessions

A multi-process browser architecture is provided that splits the browser process and the renderer processes. The browser process may run on a user device and the renderer processes may run on a renderer server accessible by the user device. The browser process running on the user device can direct the renderer server to generate a new renderer process each time a user elects to open a new browser window or tab. The renderer process running on the renderer server can determine what content resources are needed to render a page and request the resources. Once the content resources are obtained, the appropriate renderer process can begin generating a layout of the page. The renderer process may transmit the layout to the browser process such that the page can be displayed on the user device.

Multi-process architecture for a split browser

System for enhancing script execution performance

A connection-aggregation proxy service disclosed in various embodiments receives connection requests from a plurality of local initiating services, where the connection requests are not targeted at the connection-aggregation proxy service. The connection-aggregation proxy service establishes connections with the local initiating services, receives packets over those connections, and transmits the packets across the same connection when the packets are for the same external target. A local connection-aggregation proxy service in one example executes on the same physical computing device as the local initiating services. A gateway connection-aggregation proxy service in another example resides at a network edge between the local initiating services and the external target that the network local initiating services are requesting. In yet another example, a central connection-aggregation proxy service establishes a connection with multiple local connection-proxy aggregation services and acts as an upstream aggregator for the connections from those local connection-aggregation proxy services.

Connection-aggregation proxy service

Systems, methods and articles solve queries or database problems through the use of graphs. An association graph may be formed based on a query graph and a database graph. The association graph may be solved for a clique, providing the results to a query or problem and/or an indication of a level of responsiveness of the results. Thus, unlimited relaxation of constraint may be achieved. Analog processors such as quantum processors may be used to solve for the clique.

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Seattle, WA, United States of America

Ivan King Yu Sham