We are seeking a freelance developer to create a custom product recommendation engine for our e-commerce platform. The engine should analyze user behavior, preferences, and purchase history to provide personalized product recommendations. The goal is to enhance the shopping experience, increase conversion rates, and drive sales through relevant suggestions.

Key Features:

1. User Behavior Analysis:

   • Track and analyze user interactions, including browsing history, clicks, and purchases, to identify preferences.

2. Personalized Recommendations:

   • Generate personalized product suggestions for each user based on their behavior and preferences.

3. Recommendation Algorithms:

   • Implement machine learning algorithms, such as collaborative filtering or content-based filtering, to improve recommendation accuracy.

4. A/B Testing:

   • Set up A/B testing to compare different recommendation strategies and optimize performance.

5. Real-Time Updates:

   • Ensure recommendations are updated in real-time as users interact with the platform.

6. Integration with E-commerce Platform:

   • Seamlessly integrate the recommendation engine with the existing e-commerce platform, ensuring a smooth user experience.

7. Reporting & Insights:

   • Provide detailed analytics on recommendation performance, conversion rates, and user engagement.

8. User Interface:

   • Design an intuitive interface for displaying recommendations on product pages, homepages, and checkout pages.