Recommendation system using content filtering: A case study for college campus placement

Recommender system known as information gathering system aims at creating an algorithm which, keeps in consideration the diverse needs and varying level of competence. It offers better opportunities in project development cycle under requirement phase and design phase. Social media and Ecommerce market has tapped in the recommender system to boost its growth by providing with precise results. It provides with either service or product recommendation using the information gathered in the software engineering process. It is broadly divided in three categories which are Collaborative, Content-based and Hybrid recommendation approach. This paper presents a model to generate recommendations based on marks of student. It discovers best solutions which would have otherwise remained hidden. The case study performed on the recommender system implementation in college campus will result a recommendation in placement of students (employee) to companies (employer) as per their requirements in shortest possible time. It can be expected as a situation where we have tried to achieve the results while keeping in mind the requirements of employer and employee.