Class Notes
CS795/895: Big Data and Recommender Systems
Links will be provided for
each week as the class progresses.
Week 1:
|
Jan.
9 |
|
Jan.
11 |
||
Week 2: |
Jan. 14 |
|
Week 3: |
Jan. 21 |
|
Week 4: |
Feb.
6 |
|
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 |
Udochukwu Nweke |
|
SVD++ |
Hind
Aldabagh |
|
|
Singular
Value Thresholding (SVT) |
A Singular
Value Thresholding Algorithm for Matrix Completion |
|
|
Top-N
Recommender |
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 |
Plinio
Vargas |
|
|
Neural
Collaborative Filtering |
Roland
New |
|
|
Autoencoder |
Grant
Atkins |
|
|
Inductive
Matrix Completion |
Yanru Xiao |
|
|
Collaborative
Deep Learning |
Yasir Alanazi |
|
|
Deep
Content-based Recommender System |
Collaborative Topic Modeling for Recommending Scientific Articles |
Hussam
Hallak |