Building Image Based Product Search & Recommendations Ecommerce Website in Django

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  • Опубликовано: 5 сен 2024
  • Introduction:
    Hey everyone! Today, we're diving into the world of personalized product recommendations and image-based search using Python and Django. We'll explore how to enhance your e-commerce website with these powerful features, making it easier for users to find products they love.
    Personalized Recommendation System:
    First, let's talk about the personalized recommendation system. This system analyzes a user's purchase history to suggest products they might be interested in.
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    Here's how it works:
    We collect the user's purchase history.
    Using collaborative filtering, we identify similar users based on their purchase patterns.
    We then recommend products purchased by these similar users but not by the current user.
    These recommendations are displayed on the website, providing a personalized shopping experience tailored to each user's preferences.
    Image-Based Search View:
    Now, let's move on to the image-based search view. This feature allows users to search for products by uploading an image.
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    Here's a breakdown:
    When a user uploads an image, we extract features from the image using the ORB algorithm.
    We then match these features with the features of products stored in the database.
    Products with similar features are considered as search results.
    The top similar products are displayed to the user, allowing them to discover visually similar items effortlessly.
    Integration with Shopping Cart:
    Lastly, let's discuss the integration with the shopping cart. This ensures a seamless shopping experience for users.
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    Here's how it works:
    We retrieve product IDs stored in the user's cookies.
    We calculate the number of unique products in the shopping cart.
    This count is displayed on the website, keeping users informed about the items they've added to their carts.
    Conclusion:
    And there you have it! We've explored how to implement both personalized product recommendations and image-based search in Django. By combining these features, we can create a dynamic and user-friendly e-commerce platform that delights users and boosts sales.
    Thanks for watching! Don't forget to like, share, and subscribe for more tutorials on Django development, machine learning, and other exciting topics. Happy coding!

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