This Shiny web application uses self-collected data on food bar preferences from OAITI meetings to implement a recommender system that predicts future food bar preferences. A number of recommender system methods are supported, including IBCF (Item-Based Collaborative Filtering) and POPULAR, a method which uses the most popular food bars to generate the recommendations.

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