A Real Time Course Recommender System in R Course Recommender v1.0
Link : https://rts-course-recommender.shinyapps.io/course_recommender_system/
Requirements for running the project through source code:
You will need to install the following to run the .r files:
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R Environment(R-3.3.2 for Windows (32/64 bit)) Link :https://cran.r-project.org/bin/windows/base/
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RStudio 1.0.44 - Windows Vista/7/8/10 (IDE for R) RStudio 1.0.44 - Mac OS X 10.6+ (64-bit) Link:https://www.rstudio.com/products/rstudio/download3/
Packages required :
- arules
- shiny
- shinydashboard
- stringr
- datasets
These packages can be installed by typing "install.packages("package_name")" in the R Studio console.
Make sure the libraries are included before the program is run!!!
Steps to run the program:
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Place the ui.r, server.r, Login.r files and all database files in a new directory
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Make sure the databases are in the same directory as the .r files (not in a subfolder).
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Set the working directory of Rstudio to this project directory using the command setwd ('path/to/directory')
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Open server.r and click runApp button on the top right of the editor, or type runApp() in the RStudio console.