This paper comparatively reviews the different recommendation models amidst the different classifier filtering techniques. Recommender systems have been adopted in other areas of life to provide custom-made solutions to netizen. The accuracy or weakness of a recommender system is based on the recommendation approach and filtering techniques adopted. Recommenders’ systems are developed to suit the needs and personal interests of the users. This paper review looks into previous and current recommender systems with a view of the different characteristics, advantages and disadvantages. This paper also undertakes a comparative review of hybrid recommendation techniques as regards to improving job recommendation systems.