CSC 569 Selected Topics in AI (Fall 2017)

Overview

This si a garduate course which offers an ntroduction to concepts, applications, algorithms, programming, and design of recommender systems

Topics Covered

1. Introduction to recommender systems
2. Collaborative Filtering-Memory based recommender system
3. Supervised learning (Linear regression)
4. Collaborative Filtering-Model based recommender system
5. Logistic regression
6. Content-Based Recommenders