{"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/sequential-modeling-of-sessions-using","title":"Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction","arxiv_id":"1904.10273","date":"2019-04-23","proceeding":null,"authors":["Sainath Adapa"],"abstract":"Recommender systems play an essential role in music streaming services,\nprominently in the form of personalized playlists. Exploring the user\ninteractions within these listening sessions can be beneficial to understanding\nthe user preferences in the context of a single session. In the 'Spotify\nSequential Skip Prediction Challenge', WSDM, and Spotify are challenging people\nto understand the way users sequentially interact with music. We describe our\nsolution approach in this paper and also state proposals for further\nimprovements to the model. The proposed model initially generates a fixed\nvector representation of the session, and this additional information is\nincorporated into an Encoder-Decoder style architecture. This method achieved\nthe seventh position in the competition, with a mean average accuracy of 0.604\non the test set. The solution code is available at\nhttps://github.com/sainathadapa/spotify-sequential-skip-prediction.","url_abs":"http://arxiv.org/abs/1904.10273v1","url_pdf":"http://arxiv.org/pdf/1904.10273v1.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":"sequential-modeling-of-sessions-using","repo_url":"https://github.com/sainathadapa/spotify-sequential-skip-prediction","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"decoder","task_name":"Decoder"},{"task_slug":null,"task_name":"Position"},{"task_slug":"recommendation-systems","task_name":"Recommendation Systems"},{"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}