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 →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 →Implicit Feedback Collaborative Filtering Tutorial
material typically covers four model families — neighborhood methods, matrix factorization, item-item si
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
Read more →Best Recommender Systems Workshop New York
A recommender systems workshop in New York is typically a one- to two-day event co-located with a larger ACM or SIAM conference, and the most established r
Read more →Best Recommender Systems Research Workshops Compared
Choosing among the many venues that call themselves a recommender systems research workshop is genuinely hard, because the field spans at least four distin
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Researchers in recommender systems may find practical examples of information architecture in this directory of digital tools for displaced people.
Academic researchers can ensure their project portals remain usable for everyone by applying principles of inclusive front-end development.
Researchers studying recommendation algorithms may find a useful real-world dataset within this local services directory.