Build AI-powered recommendation engine for personalized event planning suggestions based on user history, preferences, and constraints.
Tasks
- Design recommendation algorithm architecture
- Implement user preference data collection
- Build date/location/activity suggestion engine
- Add budget/time constraint analysis
- Create A/B testing framework for recommendations
- Integrate suggestions into event creation flow
Acceptance Criteria
- Personalized date suggestions based on history
- Location recommendations with accessibility scores
- Activity suggestions matching group preferences
- A/B testing infrastructure in place
Timeline
2026-02-01 to 2026-02-15
Build AI-powered recommendation engine for personalized event planning suggestions based on user history, preferences, and constraints.
Tasks
Acceptance Criteria
Timeline
2026-02-01 to 2026-02-15