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Type

Technology

Research Area

Information and Communication Technologies

Inventors

Gerard Lynch

Padraig Cunningham

Oisin Boydell

Hodei Iraola

Resource Files

PDF Flyer

Topics

Cluster social media Statistical text analytics Recommendation engine

IdentityMatch

Identifying Persons of Interest in Social Networks

Overview
Finding persons of interest on social media is not a trivial task and current approaches to people search are simplistic and based on collaborative filtering. There is a growing need to find people in a particular area of expertise, location, and/or business. IdentityMatch provides near real time retrieval of results from user searches.
How It Works
IdentityMatch uses a combination of; - Statistical text analytics and advanced network analysis - Incorporate Twitter metrics such as followers/following ratio or number of retweets - Topic augmentation - Dynamic keyword relevancy - People search engines augmented with thematic clustering and recommendation algorithms - Cluster social media users based on area of expertise
Benefits
Ability to find people in a particular area of expertise, location, and/or business in real time while managing the increasing volume of social media accounts.
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