Recommender Systems

Goals for this Prectice

• Use an item-based collaborative filter and cosine similarity to build a simple recommender system

Prerequisites

library(dplyr)
library(lsa)
package: SnowballC

Tasks for this Prectice

• Upload interest and difficulty csv files
• Convert student data into matrics
• Make sure missing values are coded with 0
• Create new cosine similarity values as a new matrix
• Use one of the student's name to test who are his/her best partner