dancip00 / recsyschallenge2022-team

Code for the Recommender System 2022 Challenge - Polimi

POLIMI Recommender Systems Challenge 2022

The objective of the competition was to create the best recommeder system for a streaming service by providing 10 recommended items. The evaluation metric was MAP@10.

In this repo we report the various experiments made and the various evolutions of our Recommender System.

Link to the official website of the challenge

Results

The end result was a hybrid Recommender System formed by

• RP3betaRecommender
• Two versions of SLIMElasticNetRecommender specialized for different portions of users.

See the submission recommender here.

We used both an implicit and an explicit matrix, normalizing the values using a dynamic Logistic function according to the item bias and user bias, see the implementation here of the funciton explicitURM.

• MAP@10 = 0.06021 on Kaggle's public leaderboard

Team

• Daniele Cipollone
• Federico Bono