{"id":24067821,"url":"https://github.com/sshbuilder/book-recommendation-system","last_synced_at":"2025-02-26T19:49:16.236Z","repository":{"id":190629388,"uuid":"682636272","full_name":"sshBuilder/Book-recommendation-system","owner":"sshBuilder","description":"Along simal line to the MRS but i am exploring a different approach to the recommendation system here","archived":false,"fork":false,"pushed_at":"2023-08-26T06:30:55.000Z","size":40604,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-26T19:49:09.952Z","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":"2023-08-24T15:40:02.000Z","updated_at":"2024-07-04T08:34:49.000Z","dependencies_parsed_at":"2024-08-01T13:27:02.686Z","dependency_job_id":null,"html_url":"https://github.com/sshBuilder/Book-recommendation-system","commit_stats":null,"previous_names":["the-ark-knight/book-recommendation-system","sudothearkknight/book-recommendation-system","sshbuilder/book-recommendation-system"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sshBuilder%2FBook-recommendation-system","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sshBuilder%2FBook-recommendation-system/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sshBuilder%2FBook-recommendation-system/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sshBuilder%2FBook-recommendation-system/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sshBuilder","download_url":"https://codeload.github.com/sshBuilder/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":"2025-01-09T12:24:07.602Z","updated_at":"2025-02-26T19:49:16.226Z","avatar_url":"https://github.com/sshBuilder.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Book Recommendation System\n\nWelcome to the Book Recommendation System project, where we've developed a recommendation engine to suggest books based on different principles. This project leverages the power of Python and data analysis techniques to provide tailored book recommendations to users.\n\n## Overview\n\nThe Book Recommendation System is designed to help users discover new books that align with their preferences. This system utilizes various principles to generate recommendations, ensuring a personalized experience for each user.\n\n## Principles of Recommendation\n\n### Collaborative Filtering\n\nCollaborative Filtering is a technique that recommends items based on the preferences and behavior of other users. It identifies users with similar tastes and suggests books that those similar users have enjoyed.\n\n### Content-Based Filtering\n\nContent-Based Filtering suggests books based on the characteristics and features of the books themselves. It considers factors such as genre, author, language, and more to match user preferences.\n\n### Hybrid Approach\n\nThe Hybrid Approach combines both Collaborative Filtering and Content-Based Filtering to provide well-rounded recommendations. By leveraging the strengths of both methods, this approach offers a more comprehensive and accurate recommendation system.\n\n## How to Use\n\n1. Clone the repository to your local machine.\n2. Install the required dependencies using `pip install -r requirements.txt`.\n3. Run the recommendation system application using `python app.py`.\n4. Enter your preferences or book details to receive personalized recommendations.\n\n## Future Enhancements\n\n- Incorporating Natural Language Processing (NLP) for improved content-based recommendations.\n- Implementing Matrix Factorization for advanced collaborative filtering.\n- Enhancing user interface and interactivity for a seamless experience.\n\n## Contact\n\nFor inquiries or collaboration opportunities, feel free to contact us at [email@example.com](mailto:email@example.com).\n\n© 20XX Your Name\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsshbuilder%2Fbook-recommendation-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsshbuilder%2Fbook-recommendation-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsshbuilder%2Fbook-recommendation-system/lists"}