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beer-recommender's Introduction

beer-recommender

project on recommender systems in Data Mining course at University of Skövde

using IBCF algorithm to predict user ratings based on rated items and output a list of recommended items

  • data folder contains original beeradvocate data set from data.world
  • RData contains data objects to enable fast deployment of R shiny app
  • www contains bootstrap.css
  • prep.R prepares data, creates recommender objects
  • server.R has app logic
  • ui.R has front-end appearance
  • testing.R has evaluation of recommender system

To run locally, download project and run server.R/ui.R or go to https://wasencroll.shinyapps.io/beer-recommender/ and see it in action online!

Visit https://www.alexandercroll.com/site/portfolio/beer-recommender to read a more detailed summary or download the full .pdf paper!

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