recommender-toolkit
This plugin provides two skills for building recommendation systems using methods like association rules, collaborative filtering, matrix factorization, and graph ranking, plus evaluating recommenders with appropriate data splits and ranking metrics. It runs instruction-based workflows with optional Python validation using only standard libraries and common data-science packages, without external API dependencies.
Install
Source: https://github.com/moheetsubudhi-isb/business-analytics-skills/tree/HEAD/plugins/recommender-toolkit
What it's made of
2 skills
- Commands
- 0
- Agents
- 0
- Skills
- 2
- MCP servers
- 0
- Hooks
- 0
What it needs & plugs into
- API keys
- none
- Paid services
- none detected
- External tools
- none
- Talks to
- nothing external detected
Analyzed . Facts extracted from the plugin's files. Prose generated by claude-haiku-4-5-20251001.
Is this your plugin?
Claim it to keep the card accurate and enter the weekly contest. Requires signing in as the GitHub owner (moheetsubudhi-isb).