implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2
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Updated
Jan 15, 2018 - Python
implementation for the paper "FISM: Factored Item Similarity Models for Top-N Recommender Systems" by Tensorflow 1.2
Media Recommendations Using Big Data Analytics.
A production-ready Machine Learning Product Recommendation Engine built with Python, Scikit-learn, Pandas, and Flask, featuring Collaborative Filtering, Item Similarity, Popularity-Based Recommendations, Cold Start handling, REST API endpoints, and automated testing.
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