Amazon.com

About: Amazon.com is a company organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Service (business) & Service provider. The organization has 13363 authors who have published 17317 publications receiving 266589 citations.

Online Clustering of Bandits

Abstract: We introduce a novel algorithmic approach to content recommendation based on adaptive clustering of exploration-exploitation "bandit") strategies. We provide a sharp regret analysis of this algorithm in a standard stochastic noise setting, demonstrate its scalability properties, and prove its effectiveness on a number of artificial and real-world datasets. Our experiments show a significant increase in prediction performance over state-of-the-art methods for bandit problems.

Dynamic content delivery

Abstract: Aspects of the present disclosure relate to the generation and delivery of content including unique and shared components. A content delivery network service provider can obtain requests for content from client computing devices. Based on information provided in the request or otherwise managed by executable code on the client computing device, the CDN service provider obtains one or more pieces of content that may be shared by more than one user or client computing devices. Additionally, the CDN service provider obtains one or more pieces of content that will not be shared by more than one user or more than one client computing device. Responsive to the content request, the CDN service provider can combine the one or more pieces of shared content and the one or more pieces of unique content and deliver the combined content to the requested client computing device.

Facilitating content generation via messaging system interactions

Abstract: The following disclosure relates generally to techniques for generating useful content based on user interactions, such as by enabling users to submit questions to and otherwise interact with an answer-providing service. In some situations, one or more interfaces are provided to allow users to specify a variety of types of questions for the answer-providing service, such as via a GUI and/or using a messaging interface based on email or other types of electronic messages. When communications occur via electronic messages, the answer-providing service may in some situations generate and include unique tracking identifiers in electronic messages sent to users, so that the users can reply back to the messages in order to provide a command to the answer-providing service that includes a tracking identifier previously sent to the user and thus verify that the command is sent by someone with access to the electronic messages of the user.

Audible command filtering

Abstract: Devices, methods, and systems for detecting wake words and audio commands that should be disregarded are disclosed. In some instances, a local device may receive a wake word or audible command transmitted or uttered in a television or radio advertisement, program, broadcast, etc. In these instances, the local device should disregard such wake words and audible commands, as they are not from a user of the local device. To detect such wake words and commands, audio fingerprinting and speech recognition techniques may be used to determine whether the wake word and/or command substantially matches the audio of a known television or radio advertisement, program, broadcast, etc. If the wake word and/or command substantially matches, the local device may then disregard the command.

System for obtaining recommendations from multiple recommenders

Abstract: A personalization network service enables developers to develop recommenders that can be made available to content site operators for providing recommendations to end users. The personalization network service may also be capable of optimizing the use and selection of the recommenders for different end users, groups or segments of end users, content sites, and the like.