Fighting Information Overflow with Personalized Comprehensive Information Access: A Proactive Job Recommender

Danielle H. Lee, Peter Brusilovsky
2007 Third International Conference on Autonomic and Autonomous Systems (ICAS'07)  
Online job search is information intensive activity, because thousands of jobs are posted on the Web daily and it takes too much effort to find out right position. Job search sites require recommender system to meet diversified information needs. Job seekers who have well-defined career direction try to focus on relevant open positions and students who have a general and evolving interest wants to see the dominant trends of job market to plan their career path. In this paper, comprehensive job
more » ... ecommender system is introduced. From user's perspective, four different kinds of recommendations are implemented. Users of this system can retrieve opening jobs from exploring to searching
doi:10.1109/conielecomp.2007.76 fatcat:kawcvkrjfndi3m4wjjrz7tl7hi