Zynga Inc.

Michael Chow

Paolo V Malabuyo

Sudhir Kumar Rama Rao

David Bettner

Ara Nicholas Yessayan, Jr

Benjamin F Gregorski

Paul David Bettner

Yie Lyn Choo

Justin Rouse

Kevin Holme

Systems and methods for processing recommendations of online games to friends of social network are described. A method for processing recommendations includes identifying a gaming session of a user on an online game provider network, accessing a use profile of the user for the online games of the online game provider network, and accessing a social graph of the user to identify friends of the user and respective friend profiles from the social network. The method further includes producing a recommendation of an online game. The recommendation includes an identification of a target friend of the user and is being provided by examination of the use profile of the user and friend profiles in the social graph. The method includes providing the recommendation to the user. The recommendation also includes an offer incentive to the user to share the recommendation with the target friend.

Social network data analysis to generate incentives for online gaming

An advertisement is associated with a particular user move in a gaming environment where playing of the user move by a user results in the advertisement being displayed at the user's gaming device. With multiple users, each play of a unique user move results in a corresponding uniquely targeted advertisement being displayed at the respective gaming device of each user. User moves and associated advertisements are bound to one another based on a frequency of use of the user move in game play and the desirability of the advertiser to associate the advertisement with the user move.

Matching advertising to game play content

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San Francisco, CA, United States of America

Michael Chow