Recommender System (ranking and memory bases collaborative filters) The notebook creates various recommenders for a small DVD store "WBSflix". The used algorithms are popularity ranking, user-based- and item-based collaborative filtering. The project was worked out in collaboration with Iman, Natascia and Sonali The notebook is part of the ongoing project in module 8 of WBS Coding School, Data Science Bootcamp #023. All rights are reserved according to WBS regulations. The notebook status is the final notebook of the module (or specific days of the module). The notebook does not give a sampmle solution. It makes no claim on accuracy. contact via https://www.linkedin.com/in/kaiko304
Kaiko304/Recommender_System-WBS_CS_DS_8
Recommender Systems using popularity ranking, item- and user-based collaborative filters.
Jupyter Notebook