E-commerce Hybrid Recommendation Engine Development
Budget: ₹1,500 – ₹12,500 INR
I'm looking to create a college minor project focusing on an E-commerce recommendation engine, similar to Amazon's. This engine will suggest products based on user interactions such as purchases and views.
Key Features:
- Implement a Hybrid Model: The recommendation engine should be a hybrid model, combining both content-based filtering and collaborative filtering.
- Built in Python: Python is the preferred programming language for this project. Proficiency in Python is crucial.
- Leverage Specific Data Sources: The engine should utilize user purchase history and product views for generating recommendations. Experience with data analysis in these areas will be beneficial.
Ideal Skills:
- Expertise in Python programming
- Experience with developing recommendation engines
- Knowledge of data analysis
- Familiarity with E-commerce platforms
- Understanding of Hybrid Model in recommendation systems.
This project is not just about coding, but also about understanding user behavior and making the engine as intuitive and effective as possible.
Key Features:
- Implement a Hybrid Model: The recommendation engine should be a hybrid model, combining both content-based filtering and collaborative filtering.
- Built in Python: Python is the preferred programming language for this project. Proficiency in Python is crucial.
- Leverage Specific Data Sources: The engine should utilize user purchase history and product views for generating recommendations. Experience with data analysis in these areas will be beneficial.
Ideal Skills:
- Expertise in Python programming
- Experience with developing recommendation engines
- Knowledge of data analysis
- Familiarity with E-commerce platforms
- Understanding of Hybrid Model in recommendation systems.
This project is not just about coding, but also about understanding user behavior and making the engine as intuitive and effective as possible.