Google Inc.

Evan Mallory Gilbert

Richard D Borovoy

Daniel Wesley Dulitz

Julie Heather Farago

Brett Rolston Lider

Jonathan Terleski

Jessica Nicola Staddon

Jeffrey Korn

Vivek Paul Gundotra

David Glazer

Karthik Murili Nagaraj

Geoffrey Allen Borggaard

Jeremy Faller

Alexandra Levich

David Mark Byttow

Ryo Misha Urano

Zachary Paul Maier

Dhyanesh Damania

Adam Winer

Eric Steinlauf

Christopher Reaves Messina

Aleksandra Korolova

Bénigne Deprey

Sara McKinley

Brandon Wade Oxendine

Ben Tauber

Lucy Elsbeth Hadden

Mark Fickett

Garry Boyer

Aron Giles

Matthew Allen Gundersen

Vic Gundotra

A method for generating a cover photo for presenting on a profile page includes receiving a request from a user to generate a cover photo for presenting on a profile page of the user account. A user interface identifying a plurality of slots for inserting the pictures/assets selected by the user, is presented at the profile page in response to the request. User selection of pictures/assets for placement in the plurality of slots at the user interface, is received. The pictures/assets are examined for assembling the selected picture/asset into a mosaic. The examination determines open slots that are available for inserting the pictures/assets and a sequence of insertion of the pictures/assets into each of the open slots in the user interface. A unified cover photo is generated by stitching together the one or more pictures/assets selected by the user based on sequence of insertion obtained through examination.

Methods for generating a cover photo with user provided pictures

A system and machine-implemented method for processing a social endorsement for an item. Structured data for a first item is received in association with a first webpage, the structured data for the first item defining properties of the first item that are specific to the first item. An indication of a social endorsement for the first item is received in association with the first webpage. In response to receiving the indication of the social endorsement, an item element corresponding to the first item is identified within a data structure. The data structure stores plural item elements, each item element including a description of the item and social endorsement information associated with the item. The social endorsement information associated with the identified item element is updated within the data structure, based on the received indication of the social endorsement for the first item.

Processing a social endorsement for an item

The disclosure includes a system and method for calculating social ranking scores for websites. The system includes a processor and a memory storing instructions that, when executed, cause the system to: process user interaction data describing user social activities associated with a website; classify the user social activities based on a plurality of social activity types associated with the user social activities, the plurality of social activity types including one or more characteristics describing the user social activities; determine candidate user social activities based on the classified user social activities, the candidate user social activities configured to calculate a social ranking score for the website; and calculate the social ranking score for the website based on the candidate user social activities, the social ranking score indicating a social ranking for the website.

Social ranking metric

The subject technology discloses configurations for receiving an indication of user activity from a first user with respect to a post, wherein the post includes content shared by a second user, in response to receiving the indication, an activity post providing an indication of the user activity with respect to the post is created, the activity post including the content, and a set of users that the activity post is visible to are identified, the set of users comprising one or more users selected from users associated with the first user in a social graph, the activity post is provided for display to the set of users in response to the indication.

Sharing content by indicating activity from users in a social network

In one aspect, a system for providing a user interface including recommended content in response to an endorsement input is described. The system includes a processor and a memory storing instructions that, when executed, causes the system to: receive an input from a first user; determine that the input is related to an endorsement of a first content item from a first source; determine a social correlation between the first content item and a second content item from a second source, determine a source correlation between the first source and the second source, determine recommended content using the social correlation and the source correlation and provide the recommended content to the first user.

Share box for endorsements

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Oakland, CA, United States of America

Evan Mallory Gilbert