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GitHub / Nehal-Pawar / Recommender-System

Predicted missing ratings using SVD algorithm from the Surprise Library for items from a file containing user ratings for multiple items by comparing a user’s ratings for available items with those of other user’s ratings and the project was built in Python

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Nehal-Pawar%2FRecommender-System
PURL: pkg:github/Nehal-Pawar/Recommender-System

Stars: 1
Forks: 0
Open issues: 0

License: None
Language: Scala
Size: 7.09 MB
Dependencies parsed at: Pending

Created at: almost 7 years ago
Updated at: over 4 years ago
Pushed at: almost 6 years ago
Last synced at: over 2 years ago

Topics: datamining, movielens-dataset, predict-missing-ratings, python, spark, surprise-library, svd, user-rating

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