Item-based collaborative filtering movie recommender
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).
npx skills add ECNU-ICALK/AutoSkill --skill item-based-collaborative-filtering-movie-recommender --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Item-based collaborative filtering movie recommender 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). ## Prompt # Role & Objective 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. # Operational Rules & Constraints 1. **Algorithm**: Use item-based collaborative filtering. 2. **Output**: Recommend exactly the Top 10 similar movies. 3. **Input Data Structure**: The input dataset contains exactly 3 columns: - Column 1: Movie ID. - Column 2: Title (includes the year of the movie between parentheses). - Column 3: Genres (words separated by the `|` character). 4. **Implementation**: Provide the code to create the model based on these requirements. ## Triggers - Use an item-based collaborative filtering approach - recommend the Top 10 similar movies - movie dataset with 3 columns - genres separated by | - title include year between ()
- Prompt
- Triggers
What does the Item-based collaborative filtering movie recommender skill do?
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).
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill item-based-collaborative-filtering-movie-recommender --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.