Amazon Technologies, Inc.

Srikanth Nori

Ian Christopher Suttle

Rajiv Reddy

Tina Ram Orooji

Shaman D'Souza

Amol Kanitkar

Mark Conrad Kockerbeck

Joshua Maxwell Rutheiser

Kevin Boehm

Ryan Summers

Allen Wang

Volkan Aginlar

Jilani Zeribi

Matthew Brian Urtnowski

Jack Andrew Tomlinson

Lei Raymond Lu

Chongshu Qian

Techniques are described for maintaining contextual data to support content-related actions. In an example, a system stories second content at a source. The source is associated with first content. The system sends, to a device, an object that indicates the first content. From the device at a first time, the system receives first data indicating a first request for the second content and including source information that indicates the source. From the device at a second time, the system receives second data indicating a second request for the second content, the second data including the source information, the first data and the second data received at a frequency indicated by the object. The system determines that the requests are associated with the first content based on the source information included in the received data, and stores third data indicating a presentation of the first content by the device.

Content-related actions based on context

Methods and devices for enabling and disabling applications using voice are described herein. In some embodiments, an individual speak an utterance to their electronic device, which may send audio data representing the utterance to a backend system. The backend system may generate text data representing the utterance, and may determine that an intent of the utterance was for an application to be enabled or disabled for their user account on the backend system. If, for instance, the intent was to enable the application, the backend system may receive one or more rules for performing functionalities of the application, as well as one or more sample templates of sample utterances and sample responses that future utterances may use when requesting the application. Furthermore, one or more invocation phrases that may be used within the future utterances to invoke the application may be received, along with slot values for the sample templates.

Voice enablement and disablement of speech processing functionality

Techniques for outputting interactive content and processing interactions with respect to the interactive content are described. While outputting requested content, a system may determine that interactive content is to be outputted. The system may determine output data including a first portion indicating that interactive content is going to be output and a second portion representing content corresponding to an item. The system may send the output data to the device. A user may interact with the output data, for example, by requesting performance of an action with respect to the item.

Interactive content output

Techniques for recommending speechlets to users via voice user interfaces (VUIs) are described. A system may include predetermined rankings of speechlets. The predetermined rankings may be determined offline and may represent reliabilities of the speechlets. During runtime, when the system receives a user input that can be handled by multiple speechlets, the system may determine a type of speechlet configured to handle the user input. The system may also identify information specific to the user's previous interactions with the system. The system may rerank the predetermined rankings using the user specific information, as well as other information. The system may recommend speechlets to the user based on the speechlets' rerankings. The system may first recommend the top reranked speechlet. If the user accepts the recommendation, the system may cause the top reranked speechlet to handle the original user input. If the user declines the recommendation, the system may recommend the next top reranked speechlet to the user. The system may work its way down the rerankings of the speechlets until the user accepts a recommendation, until the system recommends all of the reranked speechlets, or until the user indicates the system should stop recommending speechlets.

Speechlet recommendation based on updating a confidence value

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Seattle, WA, United States of America

Srikanth Nori