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Recommender Systems

Category: Content  ·  Sub-category: content-misc  ·  Last updated:
Builds personalized product recommendation engines using content-based filtering, collaborative filtering (user/item neighborhood), latent factor models (SVD, SVD++, NMF), hybrid blending/stacking, contextual pre-filtering, and non-personalized association rules. Use when asked to: build a recommendation engine, personalize product suggestions, solve cold-start problem, rank products by affinity, improve upsell/cross-sell, compute similarity between items or users, evaluate recommender quality (RMSE, NDCG@K, precision@K), or combine multiple models. Also trigger when someone says "recommendation engine", "collaborative filtering", "content-based filtering", "SVD", "latent factors", "cold-start problem", "similar products", "frequently bought together", "next best product", "blending models", "NDCG", "precision@K", or pastes a user-item rating matrix. Always renders inline HTML dashboard + marketer NBA and industry benchmarks.

From the source SKILL.md

Personalized recommendation engine builder. Six algorithm families + hybrid blending + evaluation suite. Always outputs three layers: technical model → evaluation metrics → marketer-ready insights + NBA.

What this skill does

Recommender Systems is a community-contributed Claude Code skill in the content-misc sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/recommender-systems/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when asked to: build a recommendation engine, personalize product suggestions, solve cold-start problem, rank products by affinity, improve upsell/cross-sell, compute similarity between items or users, evaluate recommender quality (RMSE, NDCG@K, precision@K), or combine multiple models. Also trigger when someone says "recommendation engine", "collaborative filtering", "content-based filtering", "SVD", "latent factors", "cold-start problem", "similar products", "frequently bought together", "next best product", "blending models", "NDCG", "precision@K", or pastes a user-item rating matrix.

Who uses this skill

The Recommender Systems Claude Code skill is built for content creators, marketers, copywriters, SEO professionals, and editorial teams. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 70,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/recommender-systems
curl -L https://claudskills.com/skills/recommender-systems/SKILL.md \
  -o ~/.claude/skills/recommender-systems/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/recommender-systems/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/recommender-systems/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\recommender-systems\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

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Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
ClaudSkills. (2026). Recommender Systems [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/recommender-systems/
BibTeX
@misc{recommender-systems-2026,
  author    = {ClaudSkills},
  title     = {Recommender Systems [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/recommender-systems/}
}

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