Google Inc.

Laura Eidem

Alex Daniel Jacobson

Jacob Walker

A method for establishing content authenticity when aggregating content includes receiving a content package that includes a content item hosted by a content publisher site and a first digital signature. The method also includes determining whether the content package satisfies authenticity criteria, at least in part by decrypting the first digital signature using a first public key to produce a plurality of hashes. The first public key is associated with a particular content publisher, the plurality of hashes includes a hash of first data that includes at least a first portion of the content item and a hash of second data that includes at least a second portion of the content item and omits at least the first portion. The method also includes providing aggregated content to content consumers, by including or restricting access to a link based on whether the content package satisfies the authenticity criteria.

Source authentication for content aggregators

Modifying computer program output in a voice or non-text input activated environment is provided. A system can receive audio signals detected by a microphone of a device. The system can parse the audio signal to identify a computer program to invoke. The computer program can identify a dialog data structure. The system can modify the identified dialog data structure to include a content item. The system can provide the modified dialog data structure to a computing device for presentation.

Modification of audio-based computer program output

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for prioritizing network traffic. In one aspect, a method includes collecting, for local networks, traffic data representing communication traffic over the local network for a period of time; determining, for each of the network devices included in the networks, a device type of the network device and at least one device priority value for the network device; training a device prioritization model, using the traffic data and the device priority values of the devices, receiving, by the device prioritization model, for a local network, a list of network devices that are included in the local network; and generating, by the device prioritization model, a prioritization scheme for the local network that prioritizes device traffic among the network devices based on the device types and device priority values of the network devices.

Auto-prioritization of device traffic across local network

In some implementations, a computer-implemented method includes analyzing first data from a first data source to determine a first schema of the first data source, and analyzing second data from a second data source to determine a second schema of the second data source. The method can further include generating a first two-dimensional aggregation of a first time data series having a time dimension and a dimension corresponding to aggregated values of a first metric, and generating a second two-dimensional aggregation of a second time data series having a time dimension and a dimension corresponding to aggregated values of a second metric. The method can also include computing a correlation value between the first two-dimensional aggregation and the second two-dimensional aggregation, and providing an indication of duplicated data between the first data source and the second data source if the correlation value meets a threshold.

Duplicative data detection

Modifying computer program output in a voice or non-text input activated environment is provided. A system can receive audio signals detected by a microphone of a device. The system can parse the audio signal to identify a computer program to invoke. The computer program can identify a dialog data structure. The system can modify the identified dialog data structure to include a content item. The system can provide the modified dialog data structure to a computing device for presentation. The system can validate the dialog data structure output by the computing device for presentation.

Validate modification of audio-based computer program output

Modifying computer program output in a voice or non-text input activated environment is provided. A system can receive audio signals detected by a microphone of a device. The system can parse the audio signal to identify a computer program to invoke. The computer program can identify a dialog data structure. The system can modify the identified dialog data structure to include a content item. The system can provide the modified dialog data structure to a computing device for presentation, wherein the dialog data structure comprises a placeholder field, positioned on the dialog data structure based on content, in order to aid in inserting of content.

Balance modifications of audio-based computer program output using a placeholder field based on content

Modifying computer program output in a voice or non-text input activated environment is provided. A system can receive audio signals detected by a microphone of a device. The system can parse the audio signal to select a computer program, such as a chatbot, to invoke based on semantic processing of the audio signal. The computer program can identify a dialog data structure. The system can modify the identified dialog data structure to include a content item. The system can provide the modified dialog data structure to a computing device for presentation.

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Mountain View, CA, United States of America

Laura Eidem