{"id":21634511,"url":"https://github.com/rooom13/recommendation-system-thesis","last_synced_at":"2026-05-15T22:04:04.683Z","repository":{"id":71995275,"uuid":"180439265","full_name":"rooom13/recommendation-system-thesis","owner":"rooom13","description":"Recommendation Systems thesis. 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In this thesis a deep evaluation of a collaborative filtering method, conten-based method and hybrid approach has been carry out.\n\n* For the **Collaborative filtering** method, a _Matrix factorization approach_ was evaluated using [_implicit.py_](implicit.readthedocs.io).\n* For the **Content-based** method, a simple class for _tf-idf_ recommendations was built using [_sklearn_](scikit-learn.org).\n* The **hybrid** approach just combines the results of collaborative filtering and content based methods by mixing them.\n\n\n\n\n\n## Repository contents\n\n* [_main.py_](https://github.com/rooom13/recommendation-system-thesis/tree/master/main.py): \"Control panel\" script for choosing options for the evaluation (which metrics, methods, randomize fold...)\n* [Plots/](https://github.com/rooom13/recommendation-system-thesis/tree/master/Plots): Folder containing plots for dataset visualization.\n* [_evaluate.py_](https://github.com/rooom13/recommendation-system-thesis/tree/master/evaluate.py): Main loop of evaluation of the three methods.\n* [collaborative_filtering/](https://github.com/rooom13/recommendation-system-thesis/tree/master/collaborative_filtering):\n* content_based\n* [data_visualization/](https://github.com/rooom13/recommendation-system-thesis/tree/master/data_visualization): Scripts for reading the results and obtaining metrics.\n* [_get_dataset.py_](https://github.com/rooom13/recommendation-system-thesis/tree/master/get_dataset.py): Script for download \u0026 extract the dataset.\n\n* [_ReadSave.py_](https://github.com/rooom13/recommendation-system-thesis/tree/master/ReadSave.py): Simpler _.pkl_ object read/saver.\n* backup.pkl\n* [_metrics.py_](https://github.com/rooom13/recommendation-system-thesis/tree/master/_metrics.py): Ranking metrics implementations from this [_Gist_](https://gist.github.com/bwhite/3726239).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frooom13%2Frecommendation-system-thesis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frooom13%2Frecommendation-system-thesis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frooom13%2Frecommendation-system-thesis/lists"}