Microsoft Technology Licensing, LLC

Carlos Carvallo

Ashvin Mathew

Christopher S Hargarten

Michael Alyn Miller

Doug Beck

Navid Azimi-Garakani

Gerry M Tierney

William Michael Zintel

Chad Gibson

Keith R Kline

Cierra D McDonald

Steve Dolan

Craig Suthers

Dave Reed

Brian G Jeans

Sela P Davis

Cody Luitjens

Mike Horstmanshof

Nick Koller

Don Sprague

Emily Price

Tim Gill

A system for transforming events from discrete events into aggregated values and statistics and for routing events and aggregated values to consuming clients and servers is provided. Events are described in a common syntax amongst different applications accessing the system. Events are routed between the transformation system and other clients and servers. Secondary application developers can provide new functionality using the event and statistic stream even after the primary application developer has already shipped to the consumer.

Application event distribution system

A method and system for facilitating relationships across multiple networks is described. The meta-network includes relationship information describing users, the networks to which such users belong, and the relationships that they have established within such networks. When a relationship is established in a network, it can be used to propagate relationships across any number of networks with the same or different users. The meta-network enhances the users' ability to search for information and manage their relationships across multiple networks. A user can search for other users according to one or more user-specified attributes. One or more users satisfying the user-specified attributes are identified, and a similarity measure may be determined for each of the identified users. A mapping interface is displayed to the user to enable the user to visually compare the identified users having a similarity measure within the displayed range. The mapping interface allows the user to invite one or more of the displayed users to establish a relationship with the user.

Method of aggregating business and social networks

Devices including gaming consoles, personal computers, tablets, smartphones, and the like may be configured with a client for capturing signals which are representative of user interactions with applications such as games. The captured signals are sent to a cloud-based service for archival storage. The service can subsequently replay the archived captured signals and compare them against known rules to determine if an achievement obtained by a user during interaction with the application was legitimately obtained in compliance with the rules or obtained improperly, for example by cheating or exploiting a bug in the application to falsely trigger the achievement. If the achievement is invalid, then the service can retroactively revoke the achievement. Alternatively, the service can replay the captured signals and detect instances in which an achievement was validly achieved but not properly acknowledged. The achievement can then be awarded or unlocked for the user retroactively.

Achievement replay and fraud detection

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Sammamish, WA, United States of America

Carlos Carvallo