Movielens 20M contains about 20 million rating records of 27,278 movies rated by 138493 users between 09 January,1995 to 31 March 2015 . Each user has rated a movie from 1 to 5, where 1 being the worst and 5 is the best. In this study we have considered only positive ratings we have considered higher than 2 as positive rating
<p>The distribution of number of ratings over users on the MovieLens dataset.</p
The data sets are Korean movie reviews and historical ratings of the reviewer. We collect them from ...
Predicting movie success with machine learning algorithms has become a very popular research area. T...
Movielens 20M contains about 20 million rating records of 27,278 movies rated by 138493 users betwee...
Transformed, cleaned dataset with reduced number of columns for all 45,000 movies listed in the full...
IMDB dataset having 50K movie reviews for natural language processing or Text analytics. This is a d...
Dataset containing the highest rated movies in different categories by critics and users of Rotten T...
<p>Number of recommendation is 100. There was no significant change in the performance rank among me...
Machine Learning is improving at being able to analyze data and find patterns in it, but does machin...
<p>This dataset contains all of the movie rating events for users of the MovieLens recommender engin...
<p>A simplified dataset based on Olson, Randy (2014): 25 most popular films each year, 1931-2013. fi...
The movie distribution company Netflix has generated considerable buzz in the statistics community b...
<p>The distribution of number of ratings over users on the MovieLens dataset.</p
The data sets are Korean movie reviews and historical ratings of the reviewer. We collect them from ...
Predicting movie success with machine learning algorithms has become a very popular research area. T...
Movielens 20M contains about 20 million rating records of 27,278 movies rated by 138493 users betwee...
Transformed, cleaned dataset with reduced number of columns for all 45,000 movies listed in the full...
IMDB dataset having 50K movie reviews for natural language processing or Text analytics. This is a d...
Dataset containing the highest rated movies in different categories by critics and users of Rotten T...
<p>Number of recommendation is 100. There was no significant change in the performance rank among me...
Machine Learning is improving at being able to analyze data and find patterns in it, but does machin...
<p>This dataset contains all of the movie rating events for users of the MovieLens recommender engin...
<p>A simplified dataset based on Olson, Randy (2014): 25 most popular films each year, 1931-2013. fi...
The movie distribution company Netflix has generated considerable buzz in the statistics community b...
<p>The distribution of number of ratings over users on the MovieLens dataset.</p
The data sets are Korean movie reviews and historical ratings of the reviewer. We collect them from ...
Predicting movie success with machine learning algorithms has become a very popular research area. T...
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