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@@ -45,6 +45,19 @@ A state-of-the-art movie recommendation system that implements multiple machine
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  - **Sparsity**: 93.70%
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  - **Rating Scale**: 1-5 stars
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  ## 🎯 How to Use
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  1. **Select a User**: Choose from the dropdown of available users
@@ -52,6 +65,8 @@ A state-of-the-art movie recommendation system that implements multiple machine
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  3. **Set Parameters**: Adjust the number of recommendations (5-20)
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  4. **Get Recommendations**: Click to generate personalized movie recommendations
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  ### Available Methods
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  | Method | Description | Best For |
@@ -292,7 +307,7 @@ MIT License - see LICENSE file for details
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  ## πŸ”— Links
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  - **Hugging Face Space**: [https://huggingface.co/spaces/Rijeet/DataSynthis_ML_JobTask]
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- - **Documentation**: See `RECOMMENDATION_SYSTEM_REPORT.md`
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  ## 🀝 Contributing
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  - **Sparsity**: 93.70%
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  - **Rating Scale**: 1-5 stars
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+ ### 1. Files Required for Deployment
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+
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+ ```
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+ β”œβ”€β”€ app_huggingface.py # Main Gradio application
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+ β”œβ”€β”€ comprehensive_recommendation_system.py # Core recommendation system
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+ β”œβ”€β”€ requirements_hf.txt # Python dependencies
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+ β”œβ”€β”€ README.md # Hugging Face Space description
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+ └── MovieLensDataset_small/ # Dataset directory
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+ └── ml-100k/
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+ β”œβ”€β”€ u.data
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+ └── u.item
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+ ```
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+
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  ## 🎯 How to Use
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  1. **Select a User**: Choose from the dropdown of available users
 
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  3. **Set Parameters**: Adjust the number of recommendations (5-20)
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  4. **Get Recommendations**: Click to generate personalized movie recommendations
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+
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+
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  ### Available Methods
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  | Method | Description | Best For |
 
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  ## πŸ”— Links
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  - **Hugging Face Space**: [https://huggingface.co/spaces/Rijeet/DataSynthis_ML_JobTask]
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+
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  ## 🀝 Contributing
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