A Survey on Different Recommendation Techniques

Recommender systems are used to provide recommendation or suggestions on services and items to the users. It provides suggestions which based on prediction. Prediction plays an important role in recommender systems while making the recommendation for users, prediction ensures the quality of suggestions for their users. Recommendation system used in various applications such as e-commerce websites, social Applications, search engines, or for daily decisions that we need to make. To generate prediction for recommender systems many techniques have been proposed. The goal of the paper is to provide a general overview on various recommendation techniques. It covers the working of different recommendation techniques along with its classification and also their advantages and disadvantages.