Microsoft Technology Licensing, LLC

Linkedin Corporation

Prachi Gupta

Vinodh Jayaram

Peter Nicholas Skomoroch

Avery Randolph Moon

Elliot Shmukler

Matthew Terence Hayes

David Michael Breger

Adam Nash

Aastha Jain

Jason Andrew Chen

Bradley Scott Mauney

Eric Melz

Nick Swartzendruber

Ehud Milo

Udi Milo

Disclosed in some examples is a method comprising determining a first set of high ranking skills, the first set containing skills possessed by a member of the social networking service based upon the member's user profile; determining a second set of high ranking skills, the second set containing skills for a second member of the social networking service based on the second member's user profile; determining a third set of high ranking skills, the third set being the intersection between the first and second set of high ranking skills; and suggesting one or more of the skills in the third set of high ranking skills to the member for endorsement of the second member with respect to that skill.

Skills endorsements

A system, device, and method may include a network interface device configured to be communicatively coupled to a user interface. An electronic data storage may be configured to store social network data related to users having accessed a social network content item A processor, coupled to the network interface device and the electronic data storage, may be configured to identify a relationship among at least some of the users, determine a relevance of the relationship to a member of the social network associated with the social network content item based, at least in part, on a social network profile of the member and social network profiles of the users, and cause the network interface device to display, on the user interface, information related to the relationship on the user interface based, at least in part, on the relevance.

System and method for displaying social network analytics

A device, system, and method may include an electronic data storage configured to store social network data related to use of the social network by users. A processor, coupled to the electronic data storage, may be configured to determine a recommended action that a member of the social network may take to increase a likelihood of at least one of the uses of the social network to access a social network content item related to the member and determine an estimated statistical change in a rate at which the users may access the social network content item if the recommended action were implemented by the member based, at least in part, on the social network data stored in the electronic data storage.

System and method for recommending actions on a social network

Growing community of inventors

Santa Clara, CA, United States of America

Prachi Gupta