UBCF/IBCF Movie Recommendation based on the MovieLens dataset, course project for CS598@UIUC built on shinyapp

Clone all files, and open ui.R in RStudio, then click "Run App" in the top right corner of RStudio.

The project has a simple and flat folder structure. The folder structure is examined below:

• /css/ contains a small .css file which has all the styling needed for the app.
• /data/ contains the raw Movielens dataset
• /fucntions/ has some UI helper functions used in the shiny app shared by both systems.
• /models/ contains the pre-trained model using all Movielens data (no train/test split). The reason why I am saving the model is because training an IBCF model takes quite a while, and the app will not start before the model training is finished.
• /scripts/ contains some preprocessing scripts. This includes loading the movie data, cleaning and transforming it, adding and extracting fields like Year and ImageUrl.
• /server.R and /ui.R should be self-explainatory. They are components needed for the app to start and run.