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Round 1: Completed

EPFL ML Recommender System

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

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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