{"id":24067802,"url":"https://github.com/sshbuilder/amazon-book-recommendation-system","last_synced_at":"2025-02-26T19:49:06.354Z","repository":{"id":254815486,"uuid":"845013055","full_name":"sshBuilder/Amazon-Book-Recommendation-System","owner":"sshBuilder","description":"This is an end to end book recommendation system project | Part of my effort to showcase the lenght and breath of my skills","archived":false,"fork":false,"pushed_at":"2024-08-26T08:23:28.000Z","size":549,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-26T19:48:51.744Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sshBuilder.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-08-20T12:14:16.000Z","updated_at":"2024-08-26T08:23:31.000Z","dependencies_parsed_at":"2024-08-26T10:39:29.483Z","dependency_job_id":"576e3a8c-ee6e-49c3-a59e-09ed92159b39","html_url":"https://github.com/sshBuilder/Amazon-Book-Recommendation-System","commit_stats":null,"previous_names":["sudothearkknight/amazon-book-recommendation-system","sshbuilder/amazon-book-recommendation-system"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sshBuilder%2FAmazon-Book-Recommendation-System","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sshBuilder%2FAmazon-Book-Recommendation-System/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sshBuilder%2FAmazon-Book-Recommendation-System/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sshBuilder%2FAmazon-Book-Recommendation-System/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sshBuilder","download_url":"https://codeload.github.com/sshBuilder/Amazon-Book-Recommendation-System/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240926389,"owners_count":19879738,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2025-01-09T12:22:37.075Z","updated_at":"2025-02-26T19:49:06.350Z","avatar_url":"https://github.com/sshBuilder.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Amazon Book Recommendation System\n\n## Overview\n\nThis project aims to build an end-to-end book recommendation system using the [Amazon Books Dataset](https://www.kaggle.com/datasets/chhavidhankhar11/amazon-books-dataset). The system will recommend books to users based on their preferences and behavior, leveraging advanced recommendation algorithms.\n\n## Dataset\n\nThe dataset used in this project is sourced from Kaggle and contains detailed information about Amazon book reviews. The dataset includes:\n\n- Book titles\n- Authors\n- Average ratings\n- Review counts\n- Categories\n- Additional metadata\n\n## Objectives\n\n- **Data Exploration**: Analyze and preprocess the dataset to prepare it for modeling.\n- **Model Selection**: Implement and compare various recommendation algorithms including collaborative filtering, content-based filtering, and hybrid approaches.\n- **Model Training**: Train the recommendation models on the dataset.\n- **Evaluation**: Assess the performance of the models using metrics such as RMSE, precision, and recall.\n- **Deployment**: Develop a user interface or API for users to interact with the recommendation system.\n\n## Project Structure\n\nThe project directory is organized as follows:\n\n```\n/amazon-book-recommendation-system\n    ├── data/\n    │   └── amazon_books.csv           # The dataset file\n    ├── notebooks/\n    │   └── data_exploration.ipynb      # Jupyter Notebook for data exploration\n    ├── src/\n    │   ├── data_preprocessing.py       # Data preprocessing scripts\n    │   ├── recommendation_models.py    # Recommendation algorithms\n    │   └── evaluation.py               # Model evaluation scripts\n    ├── requirements.txt                # Project dependencies\n    ├── app.py                          # Flask/Django application file (if applicable)\n    ├── README.md                       # This file\n    └── results/\n        └── evaluation_results.csv      # Model evaluation results\n```\n\n## Installation\n\nTo set up the project, follow these steps:\n\n1. **Clone the repository**:\n    ```bash\n    git clone https://github.com/yourusername/amazon-book-recommendation-system.git\n    cd amazon-book-recommendation-system\n    ```\n\n2. **Create and activate a virtual environment**:\n    ```bash\n    python -m venv venv\n    source venv/bin/activate  # On Windows use `venv\\Scripts\\activate`\n    ```\n\n3. **Install the dependencies**:\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n4. **Download the dataset** from [Kaggle](https://www.kaggle.com/datasets/chhavidhankhar11/amazon-books-dataset) and place it in the `data/` directory.\n\n## Usage\n\n1. **Data Exploration**:[README.md](README.md)\n    Run the[README.md](README.md) Jupyter Notebook in `notebooks/data_exploration.ipynb` to explore and preprocess the data.\n\n2. **Model Training**:\n    Execute the scripts in `src/recommendation_models.py` to train the recommendation models.\n\n3. **Evaluation**:\n    Use `src/evaluation.py` to evaluate the performance of the models.\n\n4. **Run the Application** (if applicable):\n    ```bash\n    python app.py\n    ```\n\n## Contributing\n\nFeel free to contribute to the project by submitting issues or pull requests. For major changes, please open an issue first to discuss what you would like to change.\n\n## License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## Acknowledgements\n\n- The dataset is provided by [Chhavi Dhankhar](https://www.kaggle.com/datasets/chhavidhankhar11/amazon-books-dataset).\n- Special thanks to contributors and libraries used in this project.\n\n---","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsshbuilder%2Famazon-book-recommendation-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsshbuilder%2Famazon-book-recommendation-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsshbuilder%2Famazon-book-recommendation-system/lists"}