Recommendation Systems
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This repository includes project studies on Recommendation Systems, of which trainings were completed and sector projects were carried out within the scope of Turkcell Data Science Bootcamp.
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"Hybrid Recommender System" and "Association Rule Base Recommender System" studies were carried out in the project, which was carried out on real industry data.
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Topics covered in the study are as follows:
- Association Rule Learning
- Content-Based Recommendation
- Item-Based Collaborative Filtering
- Model-Based Matrix Factorization
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The studies within the scope of the project were carried out on the online_retail_II dataset, which can be found in open source sources.