lucymcgowan/mk-rating

Disney Ride Picker

Lucy D'Agostino McGowan

This application uses Touringplans survey data to estimate the Magic Kingdom ride you'd rate the highest based on the ratings of the last two rides you rode. You can find the application at: http://lucy.shinyapps.io/mk-rating/

Run the appliation locally on your computer

To run the application, you need to following packages in R:

• shiny
• tidyverse
• glue
• shinydashboard
• DT

You can install them using the following code in your R console.

install.packages("shiny")
install.packages("tidyverse")
install.packages("glue")
install.packages("shinydashboard")
install.packages("DT")

To run the application locally, first download the files in this repository. If using RStudio, open the RStudio project (themepark-rating.Rproj) and run shiny::runApp() in the console. If not using RStudio, you can set your working directory to the folder containing the files in this repository and run shiny::runApp().

The algorithm

This recommender is using a very simple algorithm. We identified 40 rides / attractions at Magic Kingdom.

• We have 6 age groups. The user inputs their age:

• The user inputs the previous two rides they rode (r1, r2), along with ratings (rate1, rate2) from 1-5.
• We subset the data to only include surveys for age_i
• We fit 38 prediction models using the ratings from the remaining 38 rides:

as outcomes and r1 and r2 as predictors in the following form:

• We then plug in the user's ratings to get 38 predicted ratings for each of the 38 remaining rides:

• Finally, we arrange the 38 predicted ratings and output the ride with the highest predicted rating.