research-article

Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting/Reranking

Authors:

Yihong ChenAuthors Info & Claims

RecSys Challenge '18: Proceedings of the ACM Recommender Systems Challenge 2018

Article No.: 10, Pages 1 - 6

https://doi.org/10.1145/3267471.3267481

Published: 02 October 2018 Publication History

Abstract

The focus of RecSys Challenge 2018 is automatic playlist continuation (APC), which refers to the task of adding one or more tracks to a playlist in a manner that does not alter the intended characteristics of the original playlist. This paper presents our approach to this challenge. We adopted neighbor-based collaborative filtering approaches since they are able to deal with large datasets in an efficient and effective way, and have previously been shown to perform well on recommendation problems with similar characteristics. We show that by choosing an appropriate similarity function that properly accounts for the list-song similarities, simple neighbor-based methods can still achieve highly competitive performance on the MPD data, meanwhile, by using a set of techniques that discriminantly finetune the recommendation lists produced by neighbor-based methods, the overall recommendation accuracy can be improved significantly. By using the proposed approach, our team HAIR was able to attain the 6th place in the competition. We have open-sourced our implementation on https://github.com/LauraBowenHe/Recsys-Spotify-2018-challenge.

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Cited By

Gabbolini GBridge D(2024)Surveying More Than Two Decades of Music Information Retrieval Research on PlaylistsACM Transactions on Intelligent Systems and Technology10.1145/368839815:6(1-68)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3688398
Yürekli AKaleli CBilge A(2021)Alleviating the cold-start playlist continuation in music recommendation using latent semantic indexingInternational Journal of Multimedia Information Retrieval10.1007/s13735-021-00214-510:3(185-198)Online publication date: 3-Sep-2021
https://doi.org/10.1007/s13735-021-00214-5
Yürekli ABilge AKaleli C(2021)Exploring playlist titles for cold-start music recommendation: an effectiveness analysisJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02777-312:11(10125-10144)Online publication date: 3-Jan-2021
https://doi.org/10.1007/s12652-020-02777-3
Show More Cited By

Index Terms

Automatic Music Playlist Continuation via Neighbor-based Collaborative Filtering and Discriminative Reweighting/Reranking
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems

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RecSys Challenge '18: Proceedings of the ACM Recommender Systems Challenge 2018

October 2018

96 pages

ISBN:9781450365864

DOI:10.1145/3267471

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 October 2018

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RecSys Challenge '18

RecSys Challenge '18: Proceedings of the ACM Recommender Systems Challenge 2018

October 2, 2018

BC, Vancouver, Canada

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Cited By

Gabbolini GBridge D(2024)Surveying More Than Two Decades of Music Information Retrieval Research on PlaylistsACM Transactions on Intelligent Systems and Technology10.1145/368839815:6(1-68)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3688398
Yürekli AKaleli CBilge A(2021)Alleviating the cold-start playlist continuation in music recommendation using latent semantic indexingInternational Journal of Multimedia Information Retrieval10.1007/s13735-021-00214-510:3(185-198)Online publication date: 3-Sep-2021
https://doi.org/10.1007/s13735-021-00214-5
Yürekli ABilge AKaleli C(2021)Exploring playlist titles for cold-start music recommendation: an effectiveness analysisJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02777-312:11(10125-10144)Online publication date: 3-Jan-2021
https://doi.org/10.1007/s12652-020-02777-3
Zamani HSchedl MLamere PChen C(2019)An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist ContinuationACM Transactions on Intelligent Systems and Technology10.1145/334425710:5(1-21)Online publication date: 18-Sep-2019
https://dl.acm.org/doi/10.1145/3344257

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