Amazon Technologies, Inc.

Newell, Gregory

Gregory Newell

Eliav Kahan

Ravi Chandra Reddy Yasa

Sai Rahul Reddy Pulikunta

Joel Toledano

David Suarez

Daren Gill

Eliav Samuel Zimmern Kahan

Prashant Rao

Mahesh Guruswamy

Techniques for performing conversation recovery of a system/user exchange are described. In response to determining that an action responsive to a user input cannot be performed, a system may determine a topic to recommend to a user. The topic may be unrelated to the original substance of the user input. The system may have access to various data representing a context in which a user provides an input to the system. The system may use these inputs and various data at runtime to make a determination regarding whether a user should be recommended a topic, as well as what that topic should be. The system may cause a question be output to the user, with the question asking the user about the topic, for example whether the user would like a song played, whether the user would like to hear information about a particular individual (e.g., artist), whether the user would like to know about a particular skill (e.g., a skill having a significantly high popularity among users of the system), or whether the user would like to know about some other topic. If the user responds affirmatively to the recommended topic, the system may pass the user experience off to an appropriate component of the system (e.g., one that is configured to perform an action related to the topic). If the user responds negatively, does not respond at all, or the system is unsure whether the user's response was affirmative or negative, the system may cease interaction with the user, thereby enabling the user to interact with the system as the user desires.

Alternate response generation

Exemplary embodiments relate to a system for recovering a conversation between a user and the system when the system is unable to properly respond to a user's input. The system may process the user input and determine an error condition exists. The system may query one or more storage systems to identify candidate text data based on their semantic similarity to the user input. The storage systems may store data related to past frequently entered inputs and/or user-generated inputs. Alternative text data is selected from the candidate text data, and presented to the user for confirmation.

Generating input alternatives

A processing device executing a component of a conversational recovery system receives an intent data and a first entity data identified from user input data. The processing device determines that the first entity data is associated with first content associated with a first component. The processing device additionally receives a text data of the user input data. The processing device determines a word in the text data that matches a keyword associated with second content associated with a second component. The processing device ranks the first component and the second component. The processing device generates message data that comprises an inquiry with respect to choosing the first content or the second content.

Conversational recovery for voice user interface

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Waltham, MA, United States of America

Gregory Newell