Implement Event Recommder System

[wade3hamati]

Description

As a user, I want to receive personalized recommendations for events so that I can enhance my engagement and experience on the platform.

Story Points: 8
Priority: High
Risk: Medium

Child Tasks:

1. Implement Event Recommendation Formula
2. Integrate recommendation system with the existing platform
3. Conduct performance testing for scalability

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Acceptance Criteria:

1. Event Recommendations:
   • Recommendations are based on user location, skill match, and past interactions.
   • Users receive a list of events sorted by relevance.
   • Events outside the user's location are filtered unless explicitly allowed.

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Task Breakdown:

1. Event Recommendation Formula:

   • Collect and process user location data.
   • Match user skills with event requirements.
   • Analyze past interactions (e.g., events attended, liked, or commented on).
   • Develop a scoring algorithm to rank events.

2. Integration:

   • Integrate recommendation formulas with the platform's backend.
   • Ensure recommendations are displayed in the user interface.

3. Testing:

   • Conduct unit and integration testing for each formula.
   • Perform performance testing to ensure scalability.

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Implementation Breakdown:

1. Backend:

   • Develop APIs for fetching recommendations.
   • Implement recommendation algorithms using machine learning or heuristic-based approaches.
   • Optimize database queries for performance.

2. Database:

   • Store user preferences, interactions, and engagement metrics.
   • Index data for faster retrieval.

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Blackbox Testing:

1. Verify that event recommendations are location-specific and skill-matched.
2. Test the system with a large dataset to ensure scalability.