{"id":18621018,"url":"https://github.com/bibeklakra91/recommendation-system","last_synced_at":"2025-11-03T12:30:33.060Z","repository":{"id":218876152,"uuid":"747586779","full_name":"BibekLakra91/recommendation-system","owner":"BibekLakra91","description":null,"archived":false,"fork":false,"pushed_at":"2024-01-24T10:14:49.000Z","size":104,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-12-27T04:41:39.187Z","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":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BibekLakra91.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2024-01-24T08:32:35.000Z","updated_at":"2024-01-24T08:50:11.000Z","dependencies_parsed_at":"2024-01-24T11:14:59.330Z","dependency_job_id":null,"html_url":"https://github.com/BibekLakra91/recommendation-system","commit_stats":null,"previous_names":["bibeklakra91/recommendation-system"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BibekLakra91%2Frecommendation-system","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BibekLakra91%2Frecommendation-system/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BibekLakra91%2Frecommendation-system/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BibekLakra91%2Frecommendation-system/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BibekLakra91","download_url":"https://codeload.github.com/BibekLakra91/recommendation-system/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239414423,"owners_count":19634439,"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":"2024-11-07T04:08:52.713Z","updated_at":"2025-11-03T12:30:33.028Z","avatar_url":"https://github.com/BibekLakra91.png","language":"Jupyter Notebook","readme":"\n# Personalised Recommendation System for a Content Feed\n\nThis repository contains code for building a recommendation system after finding similarity measurements using cosine similarity. The model undergoes training using 70% of the provided dataset.\n\n## Data\n\nThe dataset used for this recommendation system is provided in the \"Assignment - ML - Supporting Data.xlsx\" file. It includes information about items, user interactions, and other relevant features.\n\n## Requirements\n\nMake sure you have the required libraries installed. You can install them using the following command:\n\n```bash\npip install pandas numpy scikit-learn\n```\n**OR**\n```bash\nconda install pandas numpy scikit-learn\n```\n## Running the Code\n\n1. Open the Jupyter Notebook `Recommendation_System.ipynb`.\n2. Run the cells in the notebook to load the dataset, preprocess features, and train the recommendation system.\n3. The system calculates cosine similarity between items and predicts interactions based on a specified threshold.\n4. The accuracy of the recommendation system is evaluated using the test set.\n\n## Code Structure\n\n- `Recommendation_System.ipynb`: Jupyter Notebook containing the code for building and testing the recommendation system.\n- `README.md`: Documentation file providing information about the project, data, requirements, and how to run the code.\n\n## Important Functions\n\n- `important_features(dataset)`: A function to preprocess features in the dataset by combining 'tags' and 'hashtags' into a single 'feature' column.\n\n## Results\n\nThe recommendation system achieved an accuracy of 98% on the test set. Adjustments to the similarity threshold and interaction rates can be made based on specific requirements.\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbibeklakra91%2Frecommendation-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbibeklakra91%2Frecommendation-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbibeklakra91%2Frecommendation-system/lists"}