Schedule
Date | Lecture | Readings | Logistics | |
---|---|---|---|---|
Th 09/05 |
Lecture #1
:
Overview of Recommender Systems [ slides notes | pynb ] |
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Th 09/12 |
Lecture #2
:
Background and baseline methods [ slides notes | pynb ] |
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Th 09/19 |
Lecture #3
:
Machine Learning I [ slides notes | pynb ] |
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Th 09/26 |
⏰ Lab Quiz 1: Run baseline methods in Kaggle G25 LSB [Kaggle Tutorial] |
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Th 10/03 |
Lecture #4
:
Machine Learning II [ slides notes | pynb ] |
HW1 out [colab link] (due Oct 10) |
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Th 10/10 |
Lecture #5
:
MF Models I [ slides notes | pynb ] |
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Th 10/17 |
Lecture #6
:
MF Models II [ slides notes | pynb ] |
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Th 10/24 |
⏰ Lab Quiz 2: Run SVD methods in Kaggle G25 LSB |
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Th 10/31 |
Lecture #7
:
Neural Networks [ slides notes | pynb ] |
HW2 out [colab link] (due Nov 07) |
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Th 11/07 |
Lecture #8
:
Neural Matrix Factorization [ slides notes | pynb ] |
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Th 11/14 |
No lecture HW3 out [colab link] (due Nov 21) |
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Th 11/21 |
Lecture #9
:
Neural Recsys with Side Information [ slides notes | pynb ] |
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Th 11/28 |
⏰ Lab Quiz 2: Question sets in Jupyter Notebook Lab Room: TBD [Final Quiz Instructions] |