Yuzi-Liu/content_based_recommender

Goal: Construct a recommender system. In the dataset, there are data of ingredients/ recipes, and interactions. Deliverable: Given a (user_id and recipe_id), predict the rating. Trying to minimize MSE (Mean Squared Error) The logic is: I want to recommend the dishes that have similar ingredients or recipes etc. with the dishes that a user rates high, which means the user likes the dish.

Jupyter Notebook