• Extracted 100,000 user’s information and their movie ratings from Netflix raw data with Pig. • Used Hadoop MapReduce to calculate and sort the cosine similarity between users based on their ratings for overlapping movies. • Predicted the personal ratings of every movie for every user depending on the top N similar users’ ratings. • Generated the top N high rating movies for every user.
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• Extracted 100,000 user’s information and their movie ratings from Netflix raw data with Pig. • Used Hadoop MapReduce to calculate and sort the cosine similarity between users based on their ratings for overlapping movies. • Predicted the personal ratings of every movie for every user depending on the top N similar users’ ratings. • Generated t…
lizalayne/movieRecommender.github.io
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• Extracted 100,000 user’s information and their movie ratings from Netflix raw data with Pig. • Used Hadoop MapReduce to calculate and sort the cosine similarity between users based on their ratings for overlapping movies. • Predicted the personal ratings of every movie for every user depending on the top N similar users’ ratings. • Generated t…
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