Execute this skill empowers AI assistant to construct recommendation systems using collaborative filtering, content-based filtering, or hybrid approaches. it analyzes user preferences, item features, and interaction data to generate personalized recommendations... Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
5.8
Rating
0
Installs
Machine Learning
Category
The skill provides a solid foundation for building recommendation systems with clear documentation of collaborative and content-based filtering approaches. The SKILL.md offers good conceptual coverage and references supporting scripts (data_preprocessing.py, build_collaborative_filtering.py, etc.) that are assumed to provide implementation details. The structure is logical with examples and best practices. However, the description could be more specific about exact invocation triggers and parameters. The novelty score is moderate as recommendation system building, while valuable, is a well-established ML task that could be approached with standard libraries and existing tutorials, though the automation and integration aspects add value. The skill would benefit from more explicit parameter definitions and clearer activation criteria in the description field.
jeremylongshore
Skill Author
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