What's this project for?
This project was designed for 1st Intern Open Hackday Competition (July 29~30, 2011). This competition was hosted at Linkedin Headquarters. 170 interns from various tech companies in the bay area participated and competed with the best and brightest in Silicon Valley. Each team got 24 hours to work on any project they wanted. The winners were picked by three judges: Kevin Scott (VP Engineering at LinkedIn), Omar Hamoui (Partner at Churn Labs, Founder of AdMob) and James Gosling (Creator of the Java programming language).
Our project Next Generation Social Recruiting got the 2nd place in this competition.
Talents are priceless, and the connections between talents are even more valuable. Companies always want to hire the right person, since hiring (s)he means hiring a group of talented people through her/his connections. We designed the next generation social recruiting intelligence system. It is capable of predicting the potential job changes for each individual and the potential influences on their professional networks through an easy-to-use user interactive interface. With the state-of-the-art data mining and visualization technologies, we believe this system can greatly improve the recruiting process as well as benefit massive job seekers like us.
We are three PhD students from the Next Generation Data Mining and Social Computing (NGDS) LAB at University of Illinois at Chicago led by Professor Philip S. Yu.
Our team members listed alphabetically by last name:
Our system was implemented using pure Java. It is cross-platform and can be run as a standalone application and web application (Java applet). We used the following open source tools/libraries to build our application:
Due to the data availability and privacy issues, the demo is currently offline. The following videos demonstrate the main functions we implemented. Please Click play to watch. (Depending on your network connections, the videos may take a few minutes to load.)(1) Select Companies (2 MB):
Detailed behind-the-scenes ideas, Predicting algorithms, Extracted features, ...
Official Hackathon Website about LinkedOut
Official Blog about the Hackathon
Official Engineering Blog about the Hackathon