{"id":26231336,"url":"https://github.com/sainathadapa/spotify-sequential-skip-prediction","last_synced_at":"2025-06-25T06:04:27.630Z","repository":{"id":145904600,"uuid":"164894021","full_name":"sainathadapa/spotify-sequential-skip-prediction","owner":"sainathadapa","description":"7th place solution to the WSDM Cup 2019 - Spotify - Sequential Skip Prediction Challenge","archived":false,"fork":false,"pushed_at":"2019-06-01T13:46:45.000Z","size":684,"stargazers_count":27,"open_issues_count":0,"forks_count":5,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-06-19T23:12:44.565Z","etag":null,"topics":["deep-learning","music-recommendation","rnn","wsdm"],"latest_commit_sha":null,"homepage":"https://arxiv.org/abs/1904.10273","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sainathadapa.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-01-09T16:02:26.000Z","updated_at":"2025-05-12T18:40:46.000Z","dependencies_parsed_at":null,"dependency_job_id":"e24a087c-8327-4d9b-89c2-cca636cf13d8","html_url":"https://github.com/sainathadapa/spotify-sequential-skip-prediction","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sainathadapa/spotify-sequential-skip-prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sainathadapa%2Fspotify-sequential-skip-prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sainathadapa%2Fspotify-sequential-skip-prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sainathadapa%2Fspotify-sequential-skip-prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sainathadapa%2Fspotify-sequential-skip-prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sainathadapa","download_url":"https://codeload.github.com/sainathadapa/spotify-sequential-skip-prediction/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sainathadapa%2Fspotify-sequential-skip-prediction/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":261816307,"owners_count":23213862,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","music-recommendation","rnn","wsdm"],"created_at":"2025-03-12T23:31:33.880Z","updated_at":"2025-06-25T06:04:27.599Z","avatar_url":"https://github.com/sainathadapa.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# WSDM Cup 2019 - Spotify - Sequential Skip Prediction Challenge - 7th place solution\n\nYou can find a report about my solution [here](workshop-paper-source/paper.pdf)\n\nTo know more about the challenge, refer the following links:\n- https://www.crowdai.org/challenges/spotify-sequential-skip-prediction-challenge\n- http://www.wsdm-conference.org/2019/wsdm-cup-2019.php\n\nThis repository's contents are shared under the Apache License 2.0.\n\nTo reproduce, follow the steps in order:\n1. Download the dataset from the CrowdAI website.\n2. (Optional) Create sample datasets using the [04-create-samples.ipynb](04-create-samples.ipynb) notebook.\n3. Train the models using the [05-train-each-len.py](05-train-each-len.py) script.\n4. (Optional) Evaluate the models on the validation set using [06-predict-each-len-val-set.py](06-predict-each-len-val-set.py).\n5. Process the test data using the [07-process-test-file.py](07-process-test-file.py).\n6. Finally, the submission file can be created by using the [09-create-submission-one-test-file.py](09-create-submission-one-test-file.py) script.\n\n## Citing\n\n```\n@article{adapa2019sequential,\n  title={Sequential modeling of Sessions using Recurrent Neural Networks for Skip Prediction},\n  author={Adapa, Sainath},\n  journal={arXiv preprint arXiv:1904.10273},\n  year={2019}\n}\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsainathadapa%2Fspotify-sequential-skip-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsainathadapa%2Fspotify-sequential-skip-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsainathadapa%2Fspotify-sequential-skip-prediction/lists"}