The follow projects consists of building a recommender system for recommending restaurants. It uses a hybrid model that combines multiple types of recommenders (popularity based, knowledge based, content based, collaborative filtering)

The dataset used is the Google Local Review (2021) dataset (https://jiachengli1995.github.io/google/index.html), from where only data related to California (CA) have been used

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