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 ...
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 ...
The Annals of the American Academy of Political and Social Science, Vol. 659, Toward Computational Social Science: Big Data in Digital Environments (May 2015), pp. 290-306 (17 pages) Theoretical and ...
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 ...
In recent weeks I've given Digg.com a bit of coverage, albeit of the kind they wouldn't have enjoyed. But actually I love the concept of digg.com and I still think it has a lot of potential, as long ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Using algorithms to make purchasing suggestions is big business. Netflix ...
A music store like Apple iTunes contains more than 5 million songs today. And there are plenty of similar music stores online. With people posting online their own creations or excerpts of the ...
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