A Recommender System Based Job Application

Abstract

Work is an important function of the human being and without work life is impossible. With job we can either fulfill our desires or family needs but the important one is we gradually attain confidence, self-respect & social status which makes us feel the part of society. When we work, we can develop new skills and can learn new things. Job is something where we can continuously discover ourselves and our potential. So, this is very important to stablish an easy way to find out jobs. In spite of this to make it more effective there are so many algorithms to make a recommender system where jobs will be suggested to the users. There are so many algorithms of recommendation system but here in our thesis we have tried to build a personalized recommendation system. Importance of recommendation in searching job is very important as it will save time and also be helpful to know the neighbor member's preferences. This application contains history of similar users’ job preference lists. This application also contains admin panel for the recruiters. So, the recruiters can easily post, view, edit and delete jobs. Without recommendation people can also see their desired jobs by searching with the company name or job name. When the app has been used by someone more than one time then their previous search jobs will also be shown in their respective homepage.