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@@ -7,7 +7,7 @@ This directory contains scripts along-with the .csv files of all datasets of Rec
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3. MoiveLens 100K: MovieLens recommendation systems, contains 100K rating for 1682 movies by 943 users. The data set leveraged by these application consists of three tables: (1) users (userid, name): This table contains all the information of registered users. Each tuple consists of a userid and name. (2) movies (movieid, name, genre): Information about movies are stored in this table. (3)ratings (userid, itemid, rating): Each tuple in the ratings table represents how much a user liked a movie after watching the movie. For further information about MoiveLens 100k, please visit the following [https://grouplens.org/datasets/movielens/](link).
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4.4)MoiveLens 1M: a rich data set consists of user ratings for items taken from the popular MoiveLens recommender system. This dataset consists of 1M ratings for 6040 movies rated by users 3883. The data set leveraged by the system consists of three tables: (1) users (userid, name): This table contains all the information of registered users. Each tuple consists of a userid and name. (2) movies (movieid, name, genre): Information about movies are stored in this table. (3) ratings (userid, itemid, rating): Each tuple in the ratings table represents how much a user liked a movie after watching it. For further information about MoiveLens 1M, please visit the following [https://grouplens.org/datasets/movielens/](link).
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4. MoiveLens 1M: a rich data set consists of user ratings for items taken from the popular MoiveLens recommender system. This dataset consists of 1M ratings for 6040 movies rated by users 3883. The data set leveraged by the system consists of three tables: (1) users (userid, name): This table contains all the information of registered users. Each tuple consists of a userid and name. (2) movies (movieid, name, genre): Information about movies are stored in this table. (3) ratings (userid, itemid, rating): Each tuple in the ratings table represents how much a user liked a movie after watching it. For further information about MoiveLens 1M, please visit the following [https://grouplens.org/datasets/movielens/](link).
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