For this use case, we used the large (20M) MovieLens dataset. This dataset contains a number of different files all related to movies and movie ratings. Here we will use files ratings.csv and ...

Collaborative filtering (CF) techniques are becoming very popular on the Internet and are widely used in several domains to cope with information overload. E-commerce sites use filtering systems to ...

International Journal of Electronic Commerce, Vol. 11, No. 2, Recommender Systems (Winter, 2006/2007), pp. 59-80 (22 pages) This paper presents a novel approach to automated product recommendation ...

Everyday decisions, from which products to buy, movies to watch and restaurants to try, are more and more being put in the hands of a new source: recommendation systems. Recommendation systems are ...

Whether we’re using Spotify, Amazon, Netflix or Instagram, we encounter algorithms that recommend content or products to us every day. In 2017 Netflix stated that its users discover around 80 percent ...

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