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Project: Recommendation Engine

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Description

In this project, you will create a recommendation engine for an e-commerce platform that provides personalized product recommendations based on user behavior and preferences. This project will help you understand how to use machine learning for building recommendation systems.

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Project Prompt

  • Develop a recommendation engine using collaborative filtering or content-based filtering techniques.
  • Implement a backend to handle data processing and model inference.
  • Create a frontend interface to display personalized recommendations to users.
  • Provide features for users to interact with and refine recommendations.

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Getting Started

  1. Choose a suitable recommendation algorithm (e.g., collaborative filtering, matrix factorization).
  2. Set up a backend service to process user data and generate recommendations.
  3. Develop the frontend interface to display recommendations and collect user feedback.
  4. Integrate the recommendation engine with the e-commerce platform.
  5. Test the system with various user data to ensure accuracy and relevance of recommendations.

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Deliverable

A recommendation engine that provides personalized product recommendations for an e-commerce platform, with a user-friendly interface for displaying and interacting with recommendations.