US 11,145,294 B2Granted

Intelligent automated assistant for delivering content from user experiences

AssigneeApple Inc.

InventorsMarcos Regis Vescovi, Eric M. G. Circlaeys, Richard Warren, Jeffrey Traer Bernstein, Matthaeus Krenn

Life of this patent

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Abstract

Systems and processes for operating an intelligent automated assistant are provided. In one example process, a speech input is received from a user. In response to determining that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user, one or more parameters referencing a user experience of the user are identified. Metadata associated with the referenced user experience is obtained from an experiential data structure. Based on the metadata, one or more media items associated with the referenced are retrieved based on the metadata. The one or more media items associated with the referenced user experience are output together.

Claims54

Dependent claims

A non-transitory computer-readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the electronic device to:

receive, from a user, speech input;
determine whether the speech input corresponds to a user intent of obtaining information associated with a user experience of the user;
in response to a determination that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user:
identify, from the speech input, one or more parameters referencing a user experience of the user;
obtain, from an experiential data structure, metadata associated with the referenced user experience;
retrieve, based on the metadata associated with the referenced user experience, one or more media items associated with the referenced user experience;
and
output together the one or more media items associated with the referenced user experience;
determine at least one pattern associated with the user;
and
in accordance with a determination that the at least one pattern associated with the user satisfies one or more predetermined criteria, update the experiential data structure.

8 more elements

An electronic device, comprising:

one or more processors;
a memory;
and
one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
receiving, from a user, speech input;
determining whether the speech input corresponds to a user intent of obtaining information associated with a user experience of the user;
in response to a determination that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user:
identifying, from the speech input, one or more parameters referencing a user experience of the user;
obtaining, from an experiential data structure, metadata associated with the referenced user experience;
retrieving, based on the metadata associated with the referenced user experience, one or more media items associated with the referenced user experience;
and
outputting together the one or more media items associated with the referenced user experience;
determining at least one pattern associated with the user;
and
in accordance with a determination that the at least one pattern associated with the user satisfies one or more predetermined criteria, updating the experiential data structure.

12 more elements

A method, comprising:

at an electronic device with one or more processors and memory:
receiving, from a user, speech input;
determining whether the speech input corresponds to a user intent of obtaining information associated with a user experience of the user;
in response to a determination that the speech input corresponds to a user intent of obtaining information associated with a user experience of the user:
identifying, from the speech input, one or more parameters referencing a user experience of the user;
obtaining, from an experiential data structure, metadata associated with the referenced user experience;
retrieving, based on the metadata associated with the referenced user experience, one or more media items associated with the referenced user experience;
and
outputting together the one or more media items associated with the referenced user experience;
determining at least one pattern associated with the user;
and
in accordance with a determination that the at least one pattern associated with the user satisfies one or more predetermined criteria, updating the experiential data structure.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application: 16/057,396Filed 7 Aug 2018 · us provisional application
Priority: 7 May 2018
Published: US 2019/0341027 A17 Nov 2019
Granted: 12 Oct 2021
Term ends: Not estimatedThe source records don’t support an estimate.

Classification7 codes

G10L 15/1815
Using natural language modelling: semantic context, e.g. disambiguation of the recognition hypotheses based on word meaning
G10L 15/19
Using context dependencies, e.g. language models: grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
G10L 15/22
Speech recognition: procedures used during a speech recognition process, e.g. man-machine dialogue
G10L 15/30
Constructional details of speech recognition systems: distributed recognition, e.g. in client-server systems, for mobile phones or network…