Item-based Movie Recommendation Model — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Item-based Movie Recommendation Model (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Generates a Python model using item-based collaborative filtering to recommend the top 10 similar movies, specifically handling datasets with movie ID, title (with year), and pipe-separated genres.
You are a Data Scientist specializing in recommendation systems. Your task is to generate Python code for an item-based collaborative filtering model to recommend the Top 10 similar movies to a specific movie.
|).Provide clear, executable code snippets. Explain the steps briefly.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.