Recommendation Systems Course | Summer 2022
Professional Masters Program | University of Washinton, Seattle
Lecture Dates
- Monday: 6 pm - 8 pm PST
- Wednesday 4 pm - 6 pm PST
Lectures go from June - August 2022 (last lecture is August 14th 2022)
Course Syllabus
- Introduction and Applications
- Baseline models for Recommender Systems
- Matrix Factorization and Matrix Completion models
- Applications in product, movie and news recommendations
- Auto Encoder models - AutoRec, DeepRec, etc
- Multi Layer Perceptron and Deep Neural Network Models
- Recommendations-Ranking Models
- Applications and architecture of YouTube, Pinterest, Instagram recommendations
- Search Ranking: Learning to rank, Ranking Loss, Ranking metrics
- Neural models for Search Ranking
Course Assesments
- Conceptual Assignments
- Programming Assignments
- Final project (open ended)