Recommendation Systems are omnipresent on the web nowadays. Most websites today are striving to provide quality
recommendations to their customers in order to increase and retain their customers. In this paper, we present our approaches to
style employment recommendation system for a career based social networking websites. We take a bottom-up approach: we start
with deeply understanding and exploring the info and gradually build the smaller bits of the system. We also consider traditional
approaches of advice systems like collaborative filtering and discuss its performance. Our experiments show the efficacy of our
approaches
