Resources

Articles about Implicit

These blog posts describe the algorithms that power this library:

• Finding Similar Music with Matrix Factorization

• Faster Implicit Matrix Factorization

• Implicit Matrix Factorization on the GPU

• Approximate Nearest Neighbours for Recommender Systems

• Distance Metrics for Fun and Profit

There are also several other blog posts about using Implicit to build recommendation systems:

• H&M Personalized Fashion Recommendations Kaggle Competition

• Yandex Cup 2022: Like Prediction

• Recommending GitHub Repositories with Google BigQuery and the implicit library

• Intro to Implicit Matrix Factorization: Classic ALS with Sketchfab Models

• A Gentle Introduction to Recommender Systems with Implicit Feedback