---

Class Notes
CS795/895: Big Data and Recommender Systems

---

Links will be provided for each week as the class progresses.

---

Week 1:	Jan. 9	Introduction to Recommender Systems
	Jan. 11	Recommender System Paradigm
Week 2:	Jan. 14	Collaborative Filtering
Week 3:	Jan. 21	Content-based Recommendation
Week 4:	Feb. 6	Regularization
Week 5:	Feb. 13	SVD++ (Hind Aldabagh)
Week 6	Feb. 20	ALS (Udochukwu Nweke)
Week 7	Feb. 27	Top-N Recommender (Ioannis Sakiotis)
Week 8	Mar. 6	Spring Break
Week 9	Mar. 13	Restricted Boltzmann Machine (Plinio Vargas)
Week 10	Mar. 20	March Madness Discussion
Week 11	Mar. 27	No Class
Week 12	Apr. 3	Autoencoder (Grant Atkins)
Week 13	Apr. 10	IMC (Xiao Yanru)
Week 14	Apr. 17	Collaborative Deep Learning (Yasir Alanazi)
Week 15	Apr. 24	Deep Content-based (Hussam Hallak)
Week 16	Apr. 31	Wide & Deep Learning for Recommender Systems (Raja)

Term Paper Guide: (due date: 4/25/18)

Papers to Read and Present

Date	Methods	Papers	Student
	Alternative Least Square (ALS)	Alternating Least Squares Method for Collaborative Filtering Collaborative Filtering for Implicit Feedback Datasets	Udochukwu Nweke
	SVD++	Matrix Factorization Techniques for Recommender Systems	Hind Aldabagh
	Singular Value Thresholding (SVT)	A Singular Value Thresholding Algorithm for Matrix Completion
	Top-N Recommender	Top-N Recommender System via Matrix Completion	Ioannis Sakiotis
	Stochastic Gradient Method	Parallel stochastic gradient algorithms for large-scale matrix completion
	ADMM	Maxios: Large Scale Nonnegative Matrix Factorization for Collaborative Filtering
	Restricted Boltzmann Machine	Restricted Boltzmann machines for collaborative Filtering	Plinio Vargas
	Neural Collaborative Filtering	Neural Collaborative Filtering	Roland New
	Autoencoder	Autoencoder Meets Collaborative Filtering Training Autoencoder for CF	Grant Atkins
	Inductive Matrix Completion	Large-scale Multi-label Learning with Missing Labels	Yanru Xiao
	Collaborative Deep Learning	Collaborative Deep Learning	Yasir Alanazi
	Deep Content-based Recommender System	Collaborative Topic Modeling for Recommending Scientific Articles Convolutional Matrix Factorization	Hussam Hallak

Back to Main Page

---