A content-based recommender system for books using the Project Gutenberg text corpus
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Updated
Feb 20, 2017 - Python
A content-based recommender system for books using the Project Gutenberg text corpus
Multidimensional Association Recommender based on association analysis and graph database
A recommendation algorithm using the MovieLens dataset.
Simple CLI Tool For Generating Available Telegram Usernames
Collaborative Filtering NN and CNN based recommender implemented with MXNet
Music Recommender using Deep Learning and Recommender Systems
Open source matrix factorization recommender for sparse matrices
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Personality based Recommendation System
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Recommendation engine wrapped in Flask (based on 27,225,144 ratings and MovieLens dataset)
E-shop product recommender using cosine similarity and trends for users without many previous purchases.
This application introduce a new approach in improvement of movies recommender systems.
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