Google Inc.

Andrew Ames Bunner

Todd Christopher Jackson

Edward Shichung Ho

John Pongsajapan

Matthew Stephen Steiner

Sean E McBride

Jessica Shih-Lan Cheng

Andrew Stephen Tomkins

Boris Mazniker

Andre Rohe

Sangsoo Sung

Keith Jonathan Coleman

Dandapani Sivakumar

Luca De Alfaro

Justin Lewis Kosslyn

Ya Luo

Annie Tsung-I Chen

Mohammed Waleed Kadous

Gregory Matthew Marra

Brian Patrick Williams

Nadav Aharony

Pascal Tom Getreuer

Marc Stogaitis

Alan Lee Gardner, Iii

Zhentao Sun

Ami Patel

Richard Daniel Webb

Thomas Chao

Brian Duff

Daniel Estrada Alva

Benjamin Razon

Tony Weber

Liem Tran

Joseph A Farfel

Richard Francis Lyon

Brett Rolston Lider

Ryan Michael Rifkin

Zachary Yeskel

Balaji Srinivasan

Sasha Sobol

David Cohen

Jonathan David Perlow

Jonathan Terleski

Yonatan Zunger

Shimrit Ben-Yair

Alison Boncha

Abhijit Bose

Braden F Kowitz

Alexander Sobol

Michael H Leggett

Lan Liu

Henry Y Wong

Ryo Misha Urano

Aman Bhargava

Rachel Ida Rosenthal Schutt

Patrick A Barry

Denise Ho

Frank Losasso Petterson

Joseph Robert Smarr

Alexander Fabrikant

Ralph Jacob Cressman

Bin Chang

Bruce J DiBello

Bruce J Dibello

David M Cohen

In general, the subject matter described in this specification can be embodied in methods, systems, and program products. A score for each of a plurality of authors of posts submitted to a server system is determined. The score for each individual author in the plurality is based on a score of one or more authors in the plurality that have requested to subscribe to a stream of posts that the individual author submits to the server system. A particular post submitted by a particular author in the plurality is received at the server system and from a computing device. A score is assigned to the particular post based on a score of the particular author. The particular post is transmitted from the server system to computing devices that are associated with authors who have requested to subscribe to posts by the particular author.

Scoring authors of posts

In general, the subject matter described in this specification can be embodied in methods, systems and program products. A server system receives from a plurality of computing devices indications that a user of each of the computing devices requested to receive posts that a first user authors. The server system receives from a first computing device a post that was authored by the first user. The post is transmitted from the server system to the plurality of computing devices. A score for the post is determined to satisfy a criteria for transmission to a second user who has not requested to receive posts authored by the first user. The determination uses a distance of the second user to the first user in a social network graph. In response, the post is transmitted from the server system to a second computing device that is associated with the second user.

Recommending posts to non-subscribing users

The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to: transmit a wakeup signal to a plurality of devices based on coarse grain location information; send a request to a first device of the plurality of devices to transmit a token using a first communication technology to determine fine grain copresence; receive a first token acknowledgment from a first subset of the plurality of devices; send a request to a second device of the first subset of the plurality of devices to transmit the token using a second communication technology to determine fine grain copresence; receive a second token acknowledgment from a second subset of the plurality of devices; and refine copresence based on receiving the first and second token acknowledgment.

Server orchestrated connectivity

The disclosure includes a system and method for providing a customized stream of content to a user. The system includes: an item sourcer for gathering one or more content items from one or more content sources; a behavior indicator module and scorer for determining one or more behavior scores for the one or more content items; a content indicator module and scorer for determining one or more content scores for the one or more content items; a score combiner for aggregating the one or more behavior scores and the one or more content scores to generate one or more item scores for the one or more content items; a content diversifier for determining one or more diverse items from the one or more content items; and a stream generator for generating a customized stream of content for the user from the one or more diverse items.

Customizing content in a social stream

Interactive content may be provided by a smart television or other media device using a wireless communication protocol to detect the presence or proximity of a mobile device. When a mobile device is detected, the media device can establish a communication link with the mobile device via the wireless communication protocol. When content is displayed by the media device, additional data can be sent to the mobile device to enhance the user experience via the communication link. The user can interact with the data sent to the mobile device or with the content itself by providing feedback on the mobile device. The feedback may be provided to a content server via a second communication link, such as a cellular link or wireless link to the Internet. In some implementations, content server may modify content for display on the media device based on feedback on the mobile device.

Systems and methods for providing interactive content

In one aspect, a method includes receiving an indication that a first user has interacted with a second user in a social network, calculating a social affinity score between the first user and the second user based on first user information, second user information, or relationship information between the first user and the second user and scheduling delivery of a notification to the recipient based on the social affinity score. Systems and machine-readable media are also provided.

Ranking to determine relevance of social connections

Implementations generally relate to increasing engagement among users in a social network system. In some implementations, a method includes determining at least one social activity associated with an initiator user in a social network system. The method also includes enabling a token to be sent from an initiator device to one or more nearby devices, wherein the initiator device is associated with the initiator user, and wherein the one or more nearby devices are associated with one or more nearby users. The method also includes sending one or more invitations to one or more of the nearby users in association with the token. The method also includes performing one or more predetermined actions in association with the one or more nearby users based on one or more responses to the invitations.

Detecting co-presence in the physical world

A system and method for generating a stream of content includes a content stream module that generates a model based on user input and/or prior activities using heterogeneous data sources. The heterogeneous data sources include search, entertainment, social activity and activity on third-party sites. The content stream module retrieves candidate content items that have interests that are similar to the user. The candidate content items are compared to the model and scored based upon interestingness of the content item to the user. The content stream module generates the stream of content from the candidate content items.

Scoring stream items with models based on user interests

A system and method for generating a real-time stream of content from heterogeneous data sources and a real-time index. The heterogeneous data sources include search, entertainment, social activity and activity on third-party sites. A fetching unit retrieves recent content that is indexed in the real-time index according to keywords. A model generation engine generates a model based on user activities. The mixer compares candidate content items from the heterogeneous data sources and the real-time index to the model to generate scores for each item and generates a stream of content based on the scores.

Scoring stream items in real time

The disclosed subject matter relates to systems, methods, and machine-readable media for ordering notifications for display in a social networking environment. One example system is configured to obtain a set of notifications for a user, wherein each notification in the set of notifications is generated in response to an event in a social network and, for each notification in the set of notifications, determine an event type associated with the notification and calculate a priority score for the notification based on the event type associated with the notification. The system is further configured to display the set of notifications based on the priority score for each notification in the set of notifications.

Prioritized notifications in a social network for a user-selected view

The disclosure includes a system and method for detecting fine grain copresence between users. The system includes a processor and a memory storing instructions that when executed cause the system to receive user input regarding copresence detection settings for a first user device, the copresence detection settings comprising a location and/or a user access control list, and determine a current location of the first user device. The system may determine whether copresence detection of the first user device is enabled at the current location based on the copresence detection settings and the current location. Based on determining that copresence detection is enabled, the system may refine copresence and perform an action based on fine grain copresence of the first and second user device.

Copresence permission model

A computer-implemented method can include accessing a micro-blog to retrieve a real-time copy of the micro-blog thread and delivering the real-time copy of the micro-blog thread for display in an e-mail message.

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Belmont, CA, United States of America

Andrew Ames Bunner