CS 8803RS: Recommender Systems (2011 Spring)

Course Information
  • Instructor: Hongyuan Zha
  • Time: Tue/Thr 08:05 - 09:25
  • Location: KACB 2456
  • Syllabus

Presentation
  • Case study of classical examples (01/25/2011) ppt, pdf
  • Evaluation of Recommender Systems (04/12/2011) ppt, pdf

Schedule
Date Topic Presenter Materials Due
1/18 Tue Introduction and Overview Hongyuan Zha Lecture 1
1/20 Thr Introduction and Overview Hongyuan Zha Lecture 1
1/25 Tue Classical Examples of Recommendation Systems
Memory-based Collaborative Filtering		 Joonseok Lee
Hongyuan Zha		 Slide
Lecture 2
1/27 Thr Recommendation Justification Shreyas Joshi Slide
2/1 Tue Matrix Factorization Methods Hongyuan Zha Lecture 3
2/3 Thr Hybrid Models
Fast Maximum Margin Matrix Factorization		 Hongyuan Zha
Prashant Gaurav		 Lecture 4
Slide
2/8 Tue Matrix Factorization with Nuclear Norm
Probabilistic Matrix Factorization		 Hongyuan Zha
Steven Crain		 Lecture 5
Slide
2/10 Thr Matrix Completion from a Few Entries Liangda Li Slide
2/15 Tue Matrix Factorization - Theoretical Bound Hongyuan Zha Lecture 6
2/17 Thr CF Incorporating User and Item Features
Robust Principal Component Analysis		 Hongyuan Zha
Liangda Li		 Lecture 7
Slide
2/22 Tue Bayesian Probabilistic Matrix Factorization Hongyuan Zha
Arun Kumar Chithanar		 Lecture 8
2/24 Thr Joint Low-Rank Matrix Factorizations
Relational Learning via Collective MF		 Hongyuan Zha
Thomas Perry		 Lecture 9
Slide		 Assignment 1 (17:00)
3/1 Tue Temporal Recommendation Thomas Perry Slide Assignment 2 (17:00)
3/3 Thr Factorizing Personalized Markov Chains Prashant Gaurav Slide
3/8 Tue Cold-Start Problems Steven Crain Slide
3/10 Thr Cold-Start Problems Ke Zhou Slide
3/15 Tue Online Recommendation Hongyuan Zha Lecture 10
3/17 Thr Long-Tail Problems in CF Bharathi Ravishanker
3/22 Tue Spring break Assignment 3 (17:00)
3/24 Thr Spring break
3/29 Tue Cross-Domain Collaborative Filtering Shuang Hong Yang Slide
3/31 Thr Transfer Learning for Recommendation Arun Kumar Chithanar Slide
4/5 Tue Recommendation in Social Networks Shuang Hong Yang Slide Assignment 4 (17:00)
4/7 Thr Cross-Domain Collaborative Filtering Shuang Hong Yang Slide
4/12 Tue Evaluation of Recommender Systems Joonseok Lee Slide
4/14 Thr Scalable Collaborative Filtering Bharathi Ravishanker
4/19 Tue Computational Issues Shreyas Joshi Slide
4/21 Thr Group Recommendation Hongyuan Zha Lecture 11 Assignment 5 (17:00)
4/26 Tue Trust and Distrust Arun Kumar Chithanar
4/28 Thr Privacy
Course Summary		 Prashant Gaurav
Hongyuan Zha		 Lecture 12 Project (5/5)