This is a robust Backend API designed for an e-commerce platform, built using ASP.NET Core 8.0. The API provides full support for managing products, users, and orders, enabling a seamless e-commerce experience. It includes various advanced features such as:
- Product Management: Perform CRUD (Create, Read, Update, Delete) operations on product data, including product names, descriptions, prices, and inventory.
- Order Management: Handle customer orders, track statuses, and integrate with payment gateways.
- User Authentication: Basic user management with registration and login functionality.
- Machine Learning Integration: Product recommendation using TF-IDF (Term Frequency-Inverse Document Frequency) and Cosine Similarity, which helps suggest similar products to customers.
- Payment Gateway: Integration with VnPay, a popular Vietnamese payment service provider, for secure online transactions.
This API is built for high performance and scalability, featuring caching via Redis, full-text search with Elasticsearch, and efficient data processing strategies to handle large-scale e-commerce environments.
- 🚀 Technologies Used
- 📌 Key Features
- 🧠 Machine Learning (Product Recommendations)
- 🔧 Installation & Running the Project
| Technology | Specific Purpose in the Project |
|---|---|
| ASP.NET Core 8.0 | Core framework for building the backend and RESTful API |
| Entity Framework Core (EF Core) | ORM for interacting with the SQL Server database to manage products, orders, and users |
| Microsoft.ML, MathNet.Numerics | Implementing TF-IDF to convert product names into vectors and using Cosine Similarity for product recommendations |
| Bogus | Generating sample data for products, users, and orders for development and testing purposes |
| Swashbuckle.AspNetCore (Swagger) | API documentation and testing interface for easy interaction with the API |
| VnPay | Integration with the VnPay payment gateway for generating payment URLs and handling transactions |
- ✅ Product Management: Create, update, delete, and retrieve products.
- ✅ Order Management: Handle order processing, shipping, and payment status.
- ✅ User Authentication: Basic user registration and login with JWT-based authentication.
- ✅ Product Recommendations: Using TF-IDF and Cosine Similarity, the API can suggest similar products to users based on the product name.
- ✅ Swagger UI: Fully interactive API documentation that makes testing the API straightforward.
- ✅ Sample Data Generation: Automatically generate product, user, and order data for development and testing purposes using the Bogus library.
This feature implements TF-IDF (Term Frequency-Inverse Document Frequency) to convert product names into vectors, which are then compared using Cosine Similarity to find the most similar products. This method improves the shopping experience by recommending products that are contextually related based on their names.
Example: Searching for a product called "Red T-shirt" will return the top 5 most similar products, such as other types of t-shirts or similar apparel.
To run this project locally, follow the steps below:
git clone https://github.com/your-username/e-commerce-backend.git
cd e-commerce-backend
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