Mining expertise and interests from social media
The rising popularity of social media in the enterprise presents new opportunities for one of
the organization's most important needs--expertise location. Social media data can be very …
the organization's most important needs--expertise location. Social media data can be very …
Expertise identification using email communications
A common method for finding information in an organization is to use social networks---ask
people, following referrals until someone with the right information is found. Another way is …
people, following referrals until someone with the right information is found. Another way is …
It's not in their tweets: Modeling topical expertise of twitter users
One of the key challenges for users of social media is judging the topical expertise of other
users in order to select trustful information sources about specific topics and to judge …
users in order to select trustful information sources about specific topics and to judge …
Most liked, fewest friends: Patterns of enterprise social media use
Enterprise social media can provide visibility of users' actions and thus has the potential to
reveal insights about users in the organization. We mined large-scale social media use in an …
reveal insights about users in the organization. We mined large-scale social media use in an …
Linkedin skills: large-scale topic extraction and inference
" Skills and Expertise" is a data-driven feature on LinkedIn, the world's largest professional
online social network, which allows members to tag themselves with topics representing …
online social network, which allows members to tag themselves with topics representing …
Making sense of strangers' expertise from signals in digital artifacts
Contemporary work increasingly involves interacting with strangers in technology-mediated
environments. In this context, we come to rely on digital artifacts to infer characteristics of …
environments. In this context, we come to rely on digital artifacts to infer characteristics of …
Searching for experts in the enterprise: combining text and social network analysis
K Ehrlich, CY Lin, V Griffiths-Fisher - Proceedings of the 2007 ACM …, 2007 - dl.acm.org
Employees depend on other people in the enterprise for rapid access to important
information. But current systems for finding experts do not adequately address the social …
information. But current systems for finding experts do not adequately address the social …
Extracting emerging knowledge from social media
Massive data integration technologies have been recently used to produce very large
ontologies. However, knowledge in the world continuously evolves, and ontologies are …
ontologies. However, knowledge in the world continuously evolves, and ontologies are …
Predicting employee expertise for talent management in the enterprise
KR Varshney, V Chenthamarakshan… - Proceedings of the 20th …, 2014 - dl.acm.org
Strategic planning and talent management in large enterprises composed of knowledge
workers requires complete, accurate, and up-to-date representation of the expertise of …
workers requires complete, accurate, and up-to-date representation of the expertise of …
Social skill validation at LinkedIn
The main mission of LinkedIn is to connect 610M+ members to the right opportunities. To
find the right opportunities, LinkedIn needs to understand each member's skill set and their …
find the right opportunities, LinkedIn needs to understand each member's skill set and their …