A Comparison of Collaborative Filtering-based Recommender Systems (original) (raw)

The proliferation of Internet has made people to rely on virtual recommendations. Recommender systems help out in giving important recommendations. Collaborative filtering is the most successful and widely used approach in designing recommender systems since the introduction of the concept of recommender systems. This approach uses the known tastes and preferences of a set of users to make predictions or generate recommendations about the unknown tastes and preferences of the target user. This paper discusses various works which use collaborative filtering approach to design recommender systems. The paper also gives a comparison of these approaches. IndexTerms – Recommender Systems, Collaborative filtering, Social networks. ________________________________________________________________________________________________________