Linkedin Corporation

Ganesh Ramesh

Alexis Blevins Baird

Heyning Cheng

Sathyanarayan Anand

Navneet Kapur

Ramakrishna Vemuri

Systems and methods for presenting recommendations for resources to be used by members in learning about and/or acquiring a skill are described. In some example embodiments, the systems and methods receive information associated with a skill from a member of a social network, identify members of the social network that are associated with the skill, receive information from the identified members of the social network that identifies one or more resources associated with the skill, and generate a list of recommended resources that is based on the information received from the identified members of the social network.

Recommending resources to members of a social network

Disclosed in some examples is a method including receiving a plurality of transaction records, each of the transaction records including data about a particular transaction engaged in by a member of a social networking service and including a geographic location and a timestamp of the particular transaction; scoring each of the plurality of transaction records based upon the recency of the transaction; clustering the plurality of transaction records into a plurality of clusters, each cluster including transaction records which contain similar geographic locations; creating an aggregate score for each particular one of the plurality of clusters based upon a sum total of the scores calculated for each transaction record clustered into the particular cluster; and creating a probability distribution based upon the scores for the plurality of clusters, the probability distribution indicating a probability that the member was in each of the plurality of locations represented by the clusters.

Techniques for inferring a location

A method and system to provide reputation scores for a social network member is described. An example system comprises an access module, a unit score generator, and a combined reputation score generator. The access module accesses a member profile, and the unit score generator generates reputation scores for one or more units of the member profile. The member profile represents a member of an on-line social network. The combined reputation score generator generates a combined reputation score for the member profile based on the respective reputation scores for the one or more profile units.

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Cupertino, CA, United States of America

Ganesh Ramesh