Skip to content

[EXTERNAL] docs (matrix-factorization): fix and update resource links in documentation #3079

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Oumaimafisaoui merged 2 commits into from
Oct 6, 2025
Merged

[EXTERNAL] docs (matrix-factorization): fix and update resource links in documentation #3079

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
70fa637
[EXTERNAL] docs (matrix-factorization): fix and update resource links…
vpollo11 Oct 5, 2025
6853677
Update README.md
vpollo11 Oct 5, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions subjects/ai/matrix-factorization/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -111,9 +111,9 @@ Remember, a great recommender system needs to understand both the users and the

### Resources

- [Matrix Factorization Techniques for Recommender Systems](https://datajobs.com/data-science-repo/Recommender-Systems-[Netflix].pdf) - A comprehensive overview of matrix factorization methods.
- [Matrix Factorization Techniques for Recommender Systems](https://www.diva-portal.org/smash/get/diva2:633561/FULLTEXT01.pdf) - A comprehensive overview of matrix factorization methods.
- [Singular Value Decomposition and Its Applications in Recommender Systems](https://www.cs.uic.edu/~liub/KDD-cup-2007/proceedings/Regular-Paterek.pdf) - Detailed explanation of SVD.
- [Probabilistic Matrix Factorization](https://papers.nips.cc/paper/2007/file/d7322ed717dedf1eb4e6e52a37ea7bcd-Paper.pdf) - Original paper on PMF by Salakhutdinov and Mnih.
- [Probabilistic Matrix Factorization](https://www.cs.toronto.edu/~amnih/papers/bpmf.pdf) - Original paper on PMF by Salakhutdinov and Mnih.
- [MovieLens Dataset](https://grouplens.org/datasets/movielens/1m/) - Official page for the MovieLens 1M dataset.
- [Scipy sparse.linalg.svds Documentation](https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.linalg.svds.html) - Reference for SVD.
- [Pandas Documentation](https://pandas.pydata.org/docs/) - Guide for data manipulation with Pandas.
Expand Down
Loading