Recommender Systems Lab

Contents

Here are the essay version of my notes from various Recommender System, lectures, books, and research papers. All credits to the researchers. See references below.

1. What is a Recommender System? [Essay]

• Collaborative Filtering [Essay]
• Matrix Factorization (SVD) [Essay]
• Introduction to Restricted Boltzmann Machines
• Content-based Recommendations
• Learning to Rank
• Context-aware Recommendations
• Similarity
• Social Recommendations
• Evaluating Recommender System
• What did we learn from Netflix Prize?

Case Study

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• A [Essay]
• B [Essay]
• c [Essay]

References

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• Restricted Boltzmann Machines for Collaborative Filtering - Geoffrey Hinton
• A Practical Guide to Training Restricted Boltzmann Machines - Geoffrey Hinton
• Recommender Systems - Xavier Amatriain
• Coursera Recommender Systems - Joseph A Konstan
• Try this at home - Simon Funk