This repository contains multiple simple recommendation systems, each designed to demonstrate various approaches to generating recommendations based on user interactions with items. These systems leverage different methodologies, such as collaborative filtering, content-based filtering, and co-click data analysis, to provide insights into how recommendations can be generated.
The goal of this project is to create a collection of straightforward recommendation models.