Amazon Technologies, Inc.

Hsuan-Cheng Lai

Korwin Jon Smith

Thomas Albert Faulhaber, Jr

David Samuel Zipkin

Harshal Dilip Wanjari

Sanjeev Kumar

Danny Ryan Stephens

Ayman Mahfouz

Pratik GuhaRay

Robert Eicher Simmering

Ramasubramanian Balagurunathan

Juan Martin Borgnino

Eric Jason Brandwine

Ty Loren Carlson

Manine R Golden

Advertisements for brands that are to be aired during media programs are selected based on similarities between the brands and creators of the media programs. As a media program is being aired, data representing content of a media program is processed to identify words being spoken or sung during the media program and sentiments associated with the media program. The media program is classified based on the words and sentiments, and a classification of the media program is compared to attributes of advertisements to determine which of the advertisements is best suited for airing during the media program. Additionally, a set of words that, if spoken or sung during a media program would establish conditions favorable to a given advertisement may be identified and provided to a creator.

Selecting advertisements for media programs and establishing favorable conditions for advertisements

Selecting advertisements for media programs by matching brands to creators

A system in which a customer service agent (CSA) is able to assist a customer with obtaining a desired response from a speech-controlled appliance while protecting customer data. The customer service agent submits queries to a natural language understanding (NLU) processor that performs entity resolution using personalized library information stored in an entity library based on the customer identity information and/or an device identifier. The CSA is shielded from the entity library itself, as well as data stored on the speech-controlled appliance. The CSA can instruct the NLU processor to deliver results to multiple endpoints, including both the customer's appliance and the CSA agent's console.

Providing customer service agents with customer-personalized result of spoken language intent

Systems and methods are disclosed which facilitate transfer of licenses corresponding to hosted services. Customers may purchase licenses to services implemented by a hosted computing environment. Thereafter, customers may elect to transfer all or a portion of that license to a second customer. In some embodiments, a customer may transfer the entirety of their service license. In other embodiments, a customer may transfer only a portion of their service license. In still more embodiments, a customer may temporarily transfer a license. For example, a customer may transfer a license only when they are not using the license.

Managing transfer of hosted service licenses

Systems and methods are disclosed which facilitate managing interaction with instances corresponding to hosted services. Customers may implement services on a hosted computing environment. Further, the customer may allow limited interaction with the hosted service to a third party (e.g., in connection with a secondary service). For example, the third party may interact with a temporary copy of the hosted service. Thereafter, the customer may, given the consent of the third party, view details of the third party's interaction with the copy, and may be enabled to merge any alterations with the initial hosted service. In addition, a customer may monitor their own interactions with a hosted service or copies of a hosted service, and view details of the differences between multiple versions of the hosted service.

Managing interaction with hosted services

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Seattle, WA, United States of America

Hsuan-Cheng Lai