Sungkyunkwan University - Recommender Systems 

Main recommender systems

Read data, measure accuracy

Principles of Collaborative Filtering

Recommender system application developments: A survey

The Limits of Popularity-Based Recommendations, and the Role of Social Ties

Time Weight Collaborative Filtering

Quiz 1

Quiz 2

Quiz 3

User-Based CF vs. Item-Based CF

Principles of matrix factorization

Matrix factorization algorithm

Setting Goals and Choosing Metrics for Recommender System Evaluations

Matrix factorization techniques for recommender systems

Matrix Factorization and Recommender Systems

Quiz 4

Quiz 5

Quiz 6

Introduction to Surprise package

Compare Algorithms and Set Options

Deep Learning Recommendation using Keras 2

Surprise: A Python library for recommender systems

Convolutional Matrix Factorization for Document Context-Aware Recommendation

Deep Learning Based Recommender System: A Survey and New Perspectives

Quiz 7

Quiz 8

Quiz 9

Combination of CF and MF

Processing of large-scale data

Cold start, scalability, binary data

Matrix factorization model in collaborative filtering algorithms: A survey

A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

DeepFM: a factorization-machine based neural network for CTR prediction

Quiz 10

Quiz 11

Quiz 12

Final Test