Data Entity Details | Generated by Eircodex v1.0.0
Stores user-specific preferences and historical interaction data to personalize activity suggestions.
5
2 required, 2 unique
2
Database performance indexes
2
Data integrity rules
4
Allowed CRUD operations
The User Preference entity enables the platform to deliver highly personalized activity suggestions by capturing individual user interests, past activity history, and motivational factors. This personalization increases user engagement and satisfaction, helping to overcome barriers such as decision paralysis. By adapting suggestions to user-specific contexts, the platform fosters sustained physical activity habits, contributing to improved health outcomes and user retention.
Developing the User Preference entity involves managing user data securely and integrating with the user-preferences-service for CRUD operations. The entity requires validation to ensure data quality and must support efficient querying to enable real-time personalization by the activity-suggestion-engine. Coordination with privacy and security teams is essential to comply with GDPR. The entity's design must accommodate evolving user data and support scalable storage within the activity-data-repository.
Technically, the User Preference entity is stored in a relational database within the activity-data-repository, with a schema optimized for quick lookups by user_id and indexed attributes like age_group. Integration with user-preferences-service handles all CRUD operations, while the activity-suggestion-engine consumes this data to tailor activity suggestions. Validation rules enforce enumerated values for fields such as age_group and motivation_level. The entity supports arrays for preferences and history, requiring careful serialization and deserialization in the service layer.
| Name | Type | Description | Constraints |
|---|---|---|---|
| id | uuid | Unique identifier for user preference | REQUIRED UNIQUE |
| user_id PK | uuid | Unique identifier for the user | PRIMARY KEY REQUIRED UNIQUE |
| preferred_activity_types | json | List of preferred activity types or categories | - |
| disliked_activity_types | json | List of activity types the user prefers to avoid | - |
| preferred_time_of_day | enum | Preferred time of day for activities | - |
Ensures preference_type is valid and recognized
Preference value must be provided for each user preference
User preferences must be used to tailor activity suggestions
User preferences must be stored and handled in compliance with GDPR
Data service dedicated to managing user-specific preferences and settings related to activity suggestions, enabling personalized recommendation adjustments and feedback incorporation.
Core service implementing the algorithm that generates personalized activity suggestions based on user context including location, season, weather, equipment availability, and user preferences. It applies rule-based logic initially with extensibility for machine learning enhancements.