January 2018
Intermediate to advanced
470 pages
11h 9m
English
Content preview from Scala Machine Learning Projects
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Item-based collaborative filtering for movie similarity
Firstly, we read the ratings from a file. For this project, we can use the MovieLens 100k rating dataset from http://www.grouplens.org/node/73. The training set ratings are in a file called ua.base, while the movie item data is in u.item. On the other hand, ua.test contains the test set to evaluate our model. Since we will be using this dataset, we should acknowledge the GroupLens Research Project team at the University of Minnesota who wrote the following text:
F. Maxwell Harper and Joseph A. Konstan. 2015. The MovieLens Datasets: History and Context. ACM Transactions on Interactive Intelligent Systems (TiiS) 5, 4, Article 19 (December 2015), 19 pages. DOI: http://dx.doi.org/10.1145/2827872 ...
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