eOrient@ -- A Recommender System to Address Life-Long Learning and Promote Employability

Abstract

Is my professional knowledge outdated? Do I have the skills needed for the new challenges of the society? What knowledge do I lack to qualify for a job I like? What universities can I address to get knowledge that improves my employment expectations? These are relevant questions that an employee has done in any moment of their life. In addition, when there are high rates of unemployment and job offers that keep deserted, the answers to these questions are even more relevant, since they open new opportunities for unemployed people. This paper proposes a system that helps people by showing what are the required knowledge and skills a person misses for a given job position and what courses the person can take in order to acquire such skills and knowledge. The system has been implemented as a recommender system that helps users in planning their life-long learning. The paper shows the architecture of the proposed system, a case study to explain how it works and some conclusions after its first experimentation.