feat(ai): add project recommendation engine#213
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Implement personalized project recommendations for users based on: - Shared skills (40% weight) - matching user_skills with project_skills - Previous contributions (25% weight) - project_membership history - Bookmarked projects (20% weight) - saved/bookmarked projects - Followed organizations (15% weight) - followed users & owned orgs New endpoint: GET /recommendations/projects - Ranked recommendations with scoring The scoring engine uses efficient batch queries (single SQL for project skills) and set-based O(1) lookups for user reference data. Closes nensii21#196
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Closes #196
Summary
Adds a personalized project recommendation engine that suggests projects to users based on their profile and platform activity.
Recommendation Factors & Weights
API
GET /recommendations/projects (authenticated)
limit(default 20) andoffsetPerformance
set()lookups for O(1) user reference data checksFiles Changed
backend/app/main.py- Register recommendations routerbackend/app/routers/recommendations.py- New endpointbackend/app/services/recommendation_service.py- Scoring enginebackend/app/schemas/recommendation.py- Pydantic schemasValidation