Rental Property Suggestion System

Requirements Clarification & Assessment

1. Understanding User Interaction:

   • Assess whether historical data on user interactions with past recommendations is available. This includes clicks, saves, or rentals.
   • Determine if real-time updates to the recommendation algorithm are necessary based on user actions.

2. User Preferences and Data:

   • Clarify the types of user demographic details and preferences available.
   • Identify if search history or explicit user ratings are available for enhancing recommendations.

3. Property Features and Data:

   • Ensure comprehensive data on property features, prices, reviews, and location is accessible.
   • Verify if city-specific attributes like crime rates, proximity to public transport, or schools are included.

4. Business Objectives:

   • Define the primary goals: Is it to maximize user engagement, increase rental bookings, or improve user satisfaction?
   • Determine the key performance indicators (KPIs) for success, such as click-through rates, conversion rates, or user retention.

5. Technical Constraints:

   • Evaluate the scalability needs based on expected user queries per second.
   • Confirm data privacy and anonymization requirements to protect user information.