A Mobile Proximity Job Employment Recommender System

With a rapid growth of internet technologies, many companies have transformed from the old traditional ways of recruiting employees to e-recruiting. E-recruiting channels achieved a solid advantage for both employers and applicants by dropping advertising costs as well as hiring time. Job recommender system aim to help in people - job matching. In this research, a proposed mobile job employment recommender system is a client - server application that uses content - based filtering algorithm to enable the initial selection of a suitable leisure job seeker to a temporary job at a particular place and vice versa. A prototype of a mobile job recommendation application was developed to evaluate the algorithm. The experimental results of the proposed algorithm show the effectiveness of the system to recommend suitable candidates for jobs at a specified area.