Loading
Cookies help us deliver our services. By using our services, you agree to our use of cookies. Learn more

crowdAI is shutting down - please read our blog post for more information

EPFL ML Recommender System

Project 2: build our own recommender system, and test its performance


Completed
1403
Submissions
123
Participants
2845
Views

Overview

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

Your collaborative filtering algorithm is evaluated according to the prediction error, measured by root-mean-squared error (RMSE).

Rules

Each participant is allowed to make 5 submissions per day (i.e. up to 15 submissions per team per day). Failed submissions (e.g. wrong submission file format) do not count.