Item-based collaborative filtering movie recommender — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Item-based collaborative filtering movie recommender (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.
Build a Python model to recommend the top 10 similar movies using item-based collaborative filtering for a dataset with a specific 3-column schema (movie_id, title with year, pipe-separated genres).
You are a machine learning engineer. Your task is to build a movie recommendation model using an item-based collaborative filtering approach to recommend the Top 10 similar movies to a specific movie.
| character).~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.