Google Inc.

Michael Kleber

Mathieu Gagne

Gang Wang

Josh Karlin

Leonidas Kontothanassis

Jonathan Frank Guarino

Arvind Jain

Daniel Ramage

Matthew Strecker Burriesci

Zhenyu Liu

Shishir Kumar Agrawal

Deepak Ravichandran

Yijian Bai

Nitish John Korula

Steven Souders

James Simonsen

Eric R Shienbrood

Anthony Charles Gentilcore

Shing Franky Sze

Moti Yung

Jason Hsueh

Guy Maor

Stephen E Lamm

Sandeep Sarat

Charlie Harrison

David Kent German

Nathan Peter Lucash

Johan Land

Emre Y Baran

Colin Mortimer Bennett

Franky Shing Sze

Gavin Wayne Kenny Peters

The present disclosure provides systems and methods for client-side anonymized content selections. The method includes collecting a plurality of identifications of content selection lists, each content selection list associated with the first device and at least one other device. The method includes selecting a first subset of the content selection lists, responsive to a total number of unique device associated with a plurality of content selection lists of the first subset exceeding a threshold. The method includes transmitting a request for an item of content, the request comprising identifications of the content selection lists of the selected first subset. The method includes receiving a first item of content selected by the content server based on the content selection lists of the selected first subset.

Systems and methods for preserving device privacy

The present disclosure provides systems and methods for content quasi-personalization or anonymized content retrieval via aggregated browsing history of a large plurality of devices, such as millions or billions of devices. A sparse matrix may be constructed from the aggregated browsing history, and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content may be selected via quasi-personalized clusters representing similar browsing histories, without exposing individual device details to content providers.

Low entropy browsing history for ads quasi-personalization

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reducing redirects. In one aspect, a method includes receiving request data indicating that a user device has requested a content item. The request data specifies other data processing apparatus to which user interactions with the content item are to be reported. The content item includes a reference to a resource that is requested in response to user interaction with the content item. Response data is provided. The response data includes data that cause presentation of the content item. Interaction data is received specifying user interaction with the content item occurred. Redirect data is provided that cause the user device to be redirected to the resource. Reporting data is provided to the other data processing apparatus, specifying user interaction with the content item occurred. The reporting data is provided asynchronously relative to the redirect data.

Reducing redirects

When a client device loads a resource, a request for a first content item for a first content item slot is transmitted to a content item selection system. The content item selection system uses a predictive model to determine a predicted content item slot based on a document object model position of the first content item slot and a URL of the resource or a publisher identifier. Parameters for the predicted content item slot are used to select a subsequent content item for the predicted content item slot. The first content item and the subsequent content item are transmitted to the client device responsive to the request. The subsequent content item includes metadata indicative of the parameters of the predicted content item slot to be matched to a subsequent content item slot of the resource.

Serving multiple content items responsive to a single request

Privacy preserving remarketing

A computer-implemented method for preloading resources of a web page is provided. The method includes receiving a user request to navigate to a web page and issuing a request for a root page corresponding to the requested web page, wherein the root page identifies actual resources requested for loading the requested web page. The method also includes determining, based on a prior history of loading the requested web page, anticipated resources that are likely to be requested when loading the requested web page, and requesting the anticipated resources from a server associated with the anticipated resources at least until a time that the root page corresponding to the requested web page is received to determine the actual resources requested for loading the requested web page. Systems and machine-readable media are also provided.

Preloading resources of a web page

Systems and methods for providing interstitial content are disclosed. A notification of an opportunity for presenting interstitial content on a client device is received at a content server. The content server generates an interstitial configuration object including computer-readable instructions for presenting the interstitial content on the client device and delivers the interstitial configuration object for execution by the client device. The interstitial configuration object causes the client device to render the interstitial content as a hidden element of a first resource while the first resource is presented on the client device and to reveal the rendered interstitial content in response to a user command to navigate away from the first resource.

Systems and methods for providing interstitial content

A method for selecting an accounting technique for recording interactions with electronic content includes receiving a request for a content item from a user device, selecting a content item in response to the request, and configuring the content item to cause the user device to store a ping identifier in a local memory of the user device. The method further includes distributing the content item to the user device. The distributed content item includes a hyperlink having a ping attribute which causes the user device to send a ping request to one or more servers. The method further includes receiving the ping identifier from the user device, determining whether the ping request was received at the one or more servers, and selecting a ping-based accounting technique or a redirect-based accounting technique based on a result of the determination.

Systems and methods for selecting an accounting technique for interactions with electronic content

A method for reliably using ping to account for interactions with electronic content includes receiving a request for a content item from a user device, selecting a content item in response to the request, determining whether the user device is ping enabled, and generating a hyperlink for inclusion with the selected content item. The hyperlink has a target URL and a ping attribute. At least one of the target URL and the ping attribute is based on a result of the determination whether the user device is ping enabled. The method further includes distributing the content item and the hyperlink to the user device and receiving a ping request from the user device. The ping request includes the target URL and an identifier of the distributed content item. The method further includes accounting for the interaction in response to receiving the ping request from the user device.

Systems and methods for reliably using ping to account for interactions with electronic content

A system for modifying a configuration of a computer program includes an encoded data receiver for receiving a plurality of encoded data values from a sample collector on a first computer, the encoded data values generated from operation of the computer program. The system also includes a bin generation value selector, for selecting a bin generation value for each of the bin data values based on a seed value and a histogram reconstructor for reconstructing, for each of the received encoded data values, an associated histogram structure based on the bin generation value associated with each encoded data value. A bin data analyzer generates a result based on the received encoded data values and the reconstructed histogram structure associated with each encoded data value. Finally, a configuration generator generates a configuration setting based on the result, and the configuration is sent to the first computer.

Modifying a computer program configuration based on variable-bin histograms

Growing community of inventors

Newton, MA, United States of America

Michael Kleber