Review of Techniques for Recommender Systems

In electronic commerce, recommender systems are used to help customers to choose products according to their needs. These systems suggest products automatically to users by learning their requirements. Recommendations provided by these systems depends upon users purchase probability and preferences. In this paper, different techniques used for recommender systems are studied. Keywords—Recommendation Systems, E-commerce, Content Based Filtering, Collaborative Filtering, Hybrid Methods

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