{"id":20500378,"url":"https://github.com/prachipatel15/book-recommender-system","last_synced_at":"2026-02-28T05:03:17.710Z","repository":{"id":171083831,"uuid":"527514567","full_name":"PrachiPatel15/Book-Recommender-System","owner":"PrachiPatel15","description":"This Streamlit app will recommend top 50 books as well as top 5 similar books similar to user entered,","archived":false,"fork":false,"pushed_at":"2022-12-19T18:42:31.000Z","size":18124,"stargazers_count":1,"open_issues_count":1,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-25T07:33:31.932Z","etag":null,"topics":["collaborative-filtering","python","recommendation-system","streamlit"],"latest_commit_sha":null,"homepage":"https://github.com/PrachiPatel15/Book-Recommender-system","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/PrachiPatel15.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":"2022-08-22T10:25:42.000Z","updated_at":"2024-07-22T21:06:43.000Z","dependencies_parsed_at":null,"dependency_job_id":"9d0ee691-141a-45e2-ad32-c890c28ad055","html_url":"https://github.com/PrachiPatel15/Book-Recommender-System","commit_stats":null,"previous_names":["prachipatel15/book-recommender-system"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/PrachiPatel15/Book-Recommender-System","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrachiPatel15%2FBook-Recommender-System","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrachiPatel15%2FBook-Recommender-System/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrachiPatel15%2FBook-Recommender-System/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrachiPatel15%2FBook-Recommender-System/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PrachiPatel15","download_url":"https://codeload.github.com/PrachiPatel15/Book-Recommender-System/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PrachiPatel15%2FBook-Recommender-System/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29925498,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-27T19:37:42.220Z","status":"online","status_checked_at":"2026-02-28T02:00:07.010Z","response_time":90,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["collaborative-filtering","python","recommendation-system","streamlit"],"created_at":"2024-11-15T18:20:36.121Z","updated_at":"2026-02-28T05:03:17.695Z","avatar_url":"https://github.com/PrachiPatel15.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Book-Recommender-System - Overview\n- This project has two main objectives.\n- First objective is to show **Top 20** books of taken dataset.\n  - This is Popularity Based Recommender System\n- And the second objective is to recommend 5 books to user entered book.\n  - This is Collaborative Filtering Type of recommendation\n  - And in this project the major concern was to focus on user ratings and make recommendation based on that\n- At the beginning data merging and data cleaning was performed.\n- **Streamlit**'framework was being used and web app was created.\n- The web app was then deployed on **Streamlit Cloud**.\n- Link: https://prachipatel15-book-recommender-system-app-batk0m.streamlit.app/\n\n## Data\nhttps://www.kaggle.com/datasets/arashnic/book-recommendation-dataset\n- There is 3 csv files available for the project.\n  - Books.csv\n  - Ratings.csv\n  - Users.csv\n- After downloading 3 of them, you can start cleaning and building a model.\n- In this project, **Cosine Similarity** was used for building collaborative filtering recommender system.\n \n## Code and Resources Used\n- ***Python Version:*** 3.9\n- ***Packages:*** Streamlit\n- ***For Web Framework Requirements:*** ```pip install -r requirements.txt```\n\n## Conclusion \n- Both Popularity and Collaborative firterling are working at some extend.\n- In collaborative filtering, cosine similarity pays huge role and it's results were more consistent.\n- Here is some of the pictures from the web app.\n- ![](https://github.com/PrachiPatel15/Book-Recommender-System/blob/main/webapp-1.png)\n- ![](https://github.com/PrachiPatel15/Book-Recommender-System/blob/main/webapp-2.png) \n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprachipatel15%2Fbook-recommender-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprachipatel15%2Fbook-recommender-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprachipatel15%2Fbook-recommender-system/lists"}