Round 1: Completed
EPFL ML Recommender System
HiddenProject 2: build our own recommender system, and test its performance
For this choice of project task, you are supposed to predict good recommendations, e.g. of movies to users. We have acquired ratings of 10000 users for 1000 different items (think of movies). All ratings are integer values between 1 and 5 stars. No additional information is available on the movies or users.
All information of the task and some baselines are provided in Exercise 10
Please see also detailed instructions on the course github.
Evaluation criteria
Your collaborative filtering algorithm is evaluated according to the prediction error, measured by root-mean-squared error (RMSE).
Resources
Prizes
Datasets License
Participants
Leaderboard
01 | Unknown User | 1.016 |
02 | Unknown User | 1.016 |
03 | Unknown User | 1.016 |
04 | Unknown User | 1.016 |
05 | Unknown User | 1.016 |