Google Inc.

Lan Huo

Bryan Christopher Horling

Behshad Behzadi

Zaheed Sabur

Lucas Mirelmann

Daniel Cotting

Denis Burakov

Sergey Nazarov

Michael Golikov

Steve Cheng

Mario Bertschler

Bohdan Vlasyuk

Luv Kothari

Sergey Igorevich Nazarov

Benedict Liang

Anarghya Mitra

Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries—and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.

Proactive caching of assistant action content to enable resolution of spoken or typed utterances

Implementations set forth herein relate to conditionally caching responses to automated assistant queries according to certain contextual data that may be associated with each automated assistant query. Each query can be identified based on historical interactions between a user and an automated assistant, and—depending on the query, fulfillment data can be cached according to certain contextual data that influences the query response. Depending on how the contextual data changes, a cached response stored at a client device can be discarded and/or replaced with an updated cached response. For example, a query that users commonly ask prior to leaving for work can have a corresponding assistant response that depends on features of an environment of the users. This unique assistant response can be cached, before the users provide the query, to minimize latency that can occur when network or processing bandwidth is unpredictable.

Conditional response fulfillment cache for locally responding to automated assistant inputs

Implementations set forth herein relate to conditionally delaying fulfillment of client update requests in order to preserve network bandwidth and other resources that may be consumed when an ecosystem of linked assistant devices are repeatedly pinging servers for updates. In some implementations, a server device can delay and/or bypass fulfillment of a client request based on one or more indications that certain requested data is currently, or is expected to be, expired. For example, a user that is modifying assistant settings via a cellular device can cause an update notification to be pushed to several other assistant devices before the user finishes editing the assistant settings. Implementations herein can limit fulfillment of update requests from the client devices according to certain criteria&#x2014;such as whether the user is continuing to modify the assistant settings from their cellular device.

Selective delaying of provisioning, to assistant device(s), assistant data that is locally utilizable by a corresponding local assistant client

Implementations can reduce the time required to obtain responses from an automated assistant through proactive caching, locally at a client device, of proactive assistant cache entries&#x2014;and through on-device utilization of the proactive assistant cache entries. Different proactive cache entries can be provided to different client devices, and various implementations relate to technique(s) utilized in determining which proactive cache entries to provide to which client devices. In some of those implementations, in determining which proactive cache entries to provide (proactively or in response to a request) to a given client device, a remote system selects, from a superset of candidate proactive cache entries, a subset of the cache entries for providing to the given client device.

Implementations set forth herein relate to conditionally caching responses to automated assistant queries according to certain contextual data that may be associated with each automated assistant query. Each query can be identified based on historical interactions between a user and an automated assistant, and&#x2014;depending on the query, fulfillment data can be cached according to certain contextual data that influences the query response. Depending on how the contextual data changes, a cached response stored at a client device can be discarded and/or replaced with an updated cached response. For example, a query that users commonly ask prior to leaving for work can have a corresponding assistant response that depends on features of an environment of the users. This unique assistant response can be cached, before the users provide the query, to minimize latency that can occur when network or processing bandwidth is unpredictable.

Proactive caching of assistant action content at a client device to enable on-device resolution of spoken or typed utterances

Growing community of inventors

New York, NY, United States of America

Lan Huo