Abstract
Our project aims to create an application that utilizes existing data that reinforces our peer to peer recommendation and prediction algorithm to give the best beer recommendations for its users. Some data will be artificially created due to the lack of existing data available. Current solutions lack the idea of customizations as recommendations only rely on mean user ratings. We aim to address the customization aspect by adding peer to peer recommendation system reinforcing objective data as opposed to only subjective user ratings.
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