Movie recommendation system

Movie recommendation system

avinash madasu

avinash madasu

Tiruchirappalli, Tamil Nadu

Recommend movies to users

Artificial Intelligence

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Description

Movie recommender system: It recommends movies to the user based on their interests.

It uses Pearson correlation similarity matrix to find similarity between two users.Then it clusters all the users with similar interests using K MEANS CLUSTERING.It then finds suitable movies and recommends to the user.

Data set: Training data set 930 users,1630 movies.Each movie has 19 features. Test data: 8300 rows . Mean Squared error:1.08

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Links

https://github.com/avinashsai/Movie-Recommender-System/blob/master/Final%20Scripts/Recommender.py

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avinash m. created project Movie recommendation system

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Movie recommendation system

Movie recommender system: It recommends movies to the user based on their interests.

It uses Pearson correlation similarity matrix to find similarity between two users.Then it clusters all the users with similar interests using K MEANS CLUSTERING.It then finds suitable movies and recommends to the user.

Data set: Training data set 930 users,1630 movies.Each movie has 19 features. Test data: 8300 rows . Mean Squared error:1.08

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