A recurring scholarly workshop bringing together machine-learning and data-mining researchers advancing recommender systems — calls for papers, topics of interest, programs, and proceedings from each edition.
A dedicated resource for ML/DM researchers, PhD students, and industry data scientists who submit papers, serve on program committees, and attend the MLRec workshop co-located with the SIAM International Conference on Data Mining (SDM).
From the blog
Best Platform for Workshop Websites: Top Picks
A workshop website platform is software that hosts the public-facing pages for a research or professional workshop — call for papers, program, organizers,
Read more →Best Collaborative Filtering for Implicit Feedback
(Please provide the ORIGINAL and TRANSLATED text to receive the edited version.) Key Takeaways - Matrix factorization with confidence weighting (WRMF/ALS)
Read more →Implicit Feedback Collaborative Filtering Tutorial
material typically covers four model families — neighborhood methods, matrix factorization, item-item si
Read more →Docker for Recommender Systems Research Guide
Reproducibility has become a first-class requirement in recommender systems research, and Docker is the most widely adopted tool for packaging experiments
Read more →Best Recommender Systems Papers: Top Picks Compared
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Read more →Best PC List on Workshop Website: Top Picks Compared
A PC list on a workshop website is a curated hardware specification page — typically 3 to 5 tiers (budget, mid-range, high-end, workstation) — that tells a
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