Facebook, Inc.

Microsoft Technology Licensing, LLC

Vijaye Ganesh Raji

Tirunelveli R Vishwanath

Deborah Liu

Teck Chia

Randy S Kimmerly

Nipun Mathur

Jason Duane Clark

James Jacob Yu

John Sells Tilford

Greg D Schechter

Jeffrey Andrew Kanter

Arieh Steinberg

Eugene Zarakhovsky

Jun Li

Calvin Patrick Grunewald

Jonathan J Gross

Marcos Arribas

Bradley Wheeler Hill

Brent Dorman

David Fisch

Jordan Alperin

Jack O'Connor

Lars A Bergstrom

Kevin A Thai

Jeff Kanter

Embodiments are disclosed for identifying a suspect application based on multiple operating factors from use of multiple applications. The embodiments can generate a representative distribution of a selected factor based on collected information corresponding to multiple operating factors from use of multiple applications. The embodiments can compare a representative distribution of a target factor with the representative distribution of the selected factor and identify a suspect application when these distributions are different.

Detecting fraud in connection with adverstisements

An online system stores information identifying interactions by online system users with content provided by a third party system. The third party system includes a tracking mechanism in content that specifies one or more interactions with the content. When a user performs a specified interaction with the content via a client device, the tracking mechanism communicates information describing the performed interaction from the client device to the online system. The online system retrieves information identifying the user from the client device and stores the information describing the performed interaction in association with the information identifying the user. The third party system requests the online system generate content for presentation to the user, and the online system identifies content provided by the third party system with which additional users having at least a threshold measure of similarity to the user interacted to present to the user.

Personalizing content associated with a third party system for presentation to an online system user based on interactions performed by the user with content from the third party system

A social networking system presents suggestions to a user of a social networking system to use or install one or more applications accessible in the system. The social networking system offers suggestions by ranking candidate applications for a particular user and selecting applications to recommend based on the rankings. Advertisers associated with some applications may bid to boost the rankings of an application, making it more likely to appear for a given user.

Presenting previously presented content items stored by users of a social networking system based on user-specified criteria

In one embodiment, a server computer may receive, from a client device, a request to download an application, wherein the client device is logged-in to a session associated with a user account in a communications system. In response to the request, a downloader module executable file may be appended with the login information and the authentication information. The server computer may transmit the downloader module executable file to the client device. In response to a second request (from the downloader module executable file), the server computer may transmit the installer file to the client device.

Automatic login to social-network from executable

To allow a third party system to more particularly identify sets of users for distributing content, an online system receives data from a third party system identifying users of the online system who have authorized communication with the third party system and stores information authorizing communication between the third party system and the users in user profiles associated with the user. The online system receives a request from the third party system to transmit a notification to online system users satisfying criteria specified by the request. User profiles including information authorizing communication between the third party system and online system users are identified by the online system, which selects a set of the identified user profiles associated with information satisfying the criteria specified by the request. The online system transmits the notification to client devices associated with users associated with the set of the identified user profiles.

Communicating notifications from a third party system to online system users via the online system

In one embodiment, a method includes a server computing device receiving several notifications from several different software applications on a client computing device associated with a user. A notification is sent by a software application on a client computing, indicates a user interaction with a software application has occurred, and identifies the application sending the notification. The server correlates each received notification with the appropriate user and stores information associated with the correlated notification.

Organizing application-reported information

An online system stores information identifying interactions by online system users with content provided by a third party system. The third party system includes a tracking mechanism in content that specifies one or more interactions with the content. When a user performs a specified interaction with the content via a client device, the tracking mechanism communicates information describing the performed interaction from the client device to the online system. The online system retrieves information identifying the user from the client device and stores the information describing the performed interaction in association with the information identifying the user.

Maintaining information describing interactions performed by users of an online system on third party systems on the online system

An application executing on a mobile device, such as an application associated with a social networking system provides a link to install a third-party application. The link may be presented in an advertisement, and the link is used to retrieve data comprising a client application for execution by the mobile device. To track installations, the client application stores an indication that the client application was installed in a shared memory location on the mobile device, as native applications do not have access to cookies. A social networking application executing on the mobile device retrieves the indication the client application was installed from the shared memory location and communicates it to a social networking system for storing in a user profile.

Conversion tracking for installation of applications on mobile devices

An ad publisher provides an online system with user identifying information of users who interacted with an advertisement presented by the ad publisher and indications of interactions with the advertisement. A landing page is associated with the advertisement, and the advertiser provides the online system with user identifiers of users who interacted with the advertisement and requested the landing page. The online system determines whether the ad publisher fraudulently identifies interactions with the advertisement by comparing the user identifying information received from the ad publisher with the user identifiers received from the advertiser.

Determining fraudulent indications of advertisement interaction based on identity

An online system transmits a notification including a reference to an application to a client device associated with a user. Upon receiving an interaction with the reference to the application, the online system may transmit instructions for retrieving the application to an additional client device associated with the user. For example, if the client device used to interact with the reference has a device type different than a device type associated with the application, the online system selects an additional client device having a device type matching the device type associated with the application to receive the instruction for retrieving the application.

Growing community of inventors

Redmond, WA, United States of America

Vijaye Ganesh Raji