12th ACM Recommender Systems Challenge Workshop, RecSys Challenge 2018; Vancouver; Canada
This volume contains the papers that were presented at the ACM Recommender Systems Challenge Workshop 20181 which was held at ACM RecSys 2018, the 12th ACM Conference on Recommender Systems. The authors of these papers participated in the RecSys Challenge 2018 by designing and implementing recommender system algorithms for automatic music playlist continuation. We received 24 paper submissions, each of which received between two and four reviews from recognized experts in the area of recommender systems, information retrieval, and music. We eventually accepted 16 for presentation in the workshop.
In this paper, we provide the solution for RecSys Challenge 2018 by our Avito team, which obtained the 3rd place in main track. The goal of the competition was to recommend music tracks for automatic playlist continuation. As a part of this challenge, Spotify released a large public dataset, which allowed us to train a rather complex algorithm. Our approach consists of two stages: collaborative filtering for candidate selection and gradient boosting for final prediction. The combination of these two models performed well with the playlist and track metadata given.