{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/skip-prediction-using-boosting-trees-based-on","title":"Skip prediction using boosting trees based on acoustic features of tracks in sessions","arxiv_id":"1903.11833","date":"2019-03-28","proceeding":null,"authors":["Andrés Ferraro","Dmitry Bogdanov","Xavier Serra"],"abstract":"The Spotify Sequential Skip Prediction Challenge focuses on predicting if a\ntrack in a session will be skipped by the user or not. In this paper, we\ndescribe our approach to this problem and the final system that was submitted\nto the challenge by our team from the Music Technology Group (MTG) under the\nname \"aferraro\". This system consists in combining the predictions of multiple\nboosting trees models trained with features extracted from the sessions and the\ntracks. The proposed approach achieves good overall performance (MAA of 0.554),\nwith our model ranked 14th out of more than 600 submissions in the final\nleaderboard.","url_abs":"http://arxiv.org/abs/1903.11833v1","url_pdf":"http://arxiv.org/pdf/1903.11833v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"skip-prediction-using-boosting-trees-based-on","repo_url":"https://github.com/andrebola/skip-challenge-wsdm","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"sequential-skip-prediction","task_name":"Sequential skip prediction"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}