Google Inc.

Amay Nitin Champaneria

Frederick Peter Brewin

Ramanathan V Guha

Vivek Raghunathan

Ramakrishnan Srikant

Andrew M Dai

Kiran S Panesar

Pablo Bellver

Vineet Gupta

Aparna Chennapragada

Carolyn F Au

Mahesh Keralapura Manjunatha

Karthik Lakshminarayanan

Carl Lischeske

Ravi Kolluri

Andrew Theodore Wansley

David Robert Black

Jason Luther Smart

Andrew J Martone

Benjamin J McMahan

Kyle Scholz

Jason L Roberts

Douglas V Simpkinson

Joseph S Hurst

Adam D Bursey

Kristopher Hom

Methods and apparatus related to determining an inquiry to provide to a user based on deficient information related to a plan of the user. Deficient information may be determined based on an insufficient association between a desired information item of the plan and a set of information items that are determined from one or more sources associated with the user. In some implementations, the user may provide, responsive to the inquiry, additional information related to the deficient information and a suggestion may be provided to the user based on the additional information.

Providing an inquiry based on deficient plan information

Methods and apparatus for providing travel-related information for a location to a user based on activity indications of the user that are related to the location. The location may be determined based on a set of one or more related activity indications and a travel-related score may be determined for the location that is indicative of likelihood that the user has interest in travelling to the location. The user may be provided the travel-related information for the location based on the travel-related score.

Automatic continued search

Methods, apparatus and computer-readable media (transitory and non-transitory) are disclosed for determining one or more additional task features for a task of a user. In some implementations, the additional task features may be determined based on additional information from one or more sources that are distinct from the source(s) from which the task is identified or determined. The additional task features may be determined based on the additional information and based on user information that is associated with the user. For example, the additional information may define a superset of information and the additional task features may be a subset of the defined superset. The additional task features may be utilized to generate a task notification related to the task, and the task notification may be provided for presentation to the user.

Determining additional task features for a task of a user

Providing an inquiry based on deficient plan information using email/chat and confidence levels

Methods and apparatus are disclosed for determining supervised training data, such as travel-related supervised training data, for training a machine learning system. In some implementations, supervised training data may be determined that includes input features based on information items of users and desired output features based on one or more physical locations visited by users.

Determining supervised training data including features pertaining to a class/type of physical location and time location was visited

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a transport protocol independent communications library. In one aspect, a method includes receiving a communication request from a client device and processed according to a selected transport protocol, generating a response to the communication request, the response including data responsive to the communication request and one or more feature values specifying one or more communication features for the communication request, each communication feature being independent of the selected transport protocol, and providing the response to the communication request according to the selected transport protocol.

Transport protocol independent communications library

Methods, apparatus and computer-readable media (transitory and non-transitory) are disclosed for receiving audio information based on sensing of one or more audible sounds; identifying one or more voice profiles, wherein each of the voice profiles is associated with an individual and indicates one or more voice characteristics of the associated individual; determining at least a given voice profile of the one or more voice profiles matches the audio information; determining co-presence of the user with at least the individual associated with the given voice profile based on determining the given voice profile matches the audio information; identifying an action that includes a trigger based on co-presence of the user and the individual associated with the given voice profile; and invoking the action based on the determined co-presence of the user with at least the individual associated with the given voice profile.

Invoking action responsive to co-presence determination

A method includes receiving a search query from a client system associated with a first user, and obtaining one or more candidate identifiers associated with the first user. The method also includes identifying a social network set of search results matching the search query and social network criteria for the first user. The social network criteria is satisfied for a respective search result when the respective search result is authored or annotated by one or more author identifiers, and at least one author identifier of the one or more author identifiers is associated with at least one candidate identifier of the one or more candidate identifiers associated with the first user. The method also includes providing to the client system a list of search results including at least a subset of the social network set of search results.

Integrating online search results and social networks

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San Francisco, CA, United States of America

Amay Nitin Champaneria