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The Importance of Song Context and Song Order in Automated Music Playlist Generation [article]

Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer
2018 arXiv   pre-print
In order to predict the next song in a playlist, some of the playlist models proposed so far consider the current and previous songs in the playlist (i.e., the song context) and possibly the order of the  ...  The automated generation of music playlists can be naturally regarded as a sequential task, where a recommender system suggests a stream of songs that constitute a listening session.  ...  Conclusion In this work we explicitly analyzed the importance of considering the song context and the song order for automated music playlist generation.  ... 
arXiv:1807.04690v1 fatcat:xpvr4imkxzet5isx6qeqke3lvi

Order, context and popularity bias in next-song recommendations

Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer
2019 International Journal of Multimedia Information Retrieval  
song context and the song popularity, and their relation to the recommendation of playlist continuations.  ...  While the accuracy achieved in next-song recommendations is important, in this work we shift our focus toward a deeper understanding of fundamental playlist characteristics, namely the song order, the  ...  As we review in Sect. 2, some approaches to automated music playlist continuation take into account the current and previous songs in the playlist and the order of the songs in the playlist to recommend  ... 
doi:10.1007/s13735-019-00169-8 fatcat:pc3jefk2afanfit2ruk4ib2cma

Mobile Music Genius

Markus Schedl, Georg Breitschopf, Bogdan Ionescu
2014 Proceedings of International Conference on Multimedia Retrieval - ICMR '14  
We describe the automatic creation and adaptation of playlists and present results of a study that investigates the capabilities of the gathered user context features to predict the listener's music preference  ...  In this demo paper, we introduce a context-aware mobile music player named "Mobile Music Genius" (MMG), which seamlessly adapts the music playlist on the fly, according to the user context.  ...  This is of particular importance in a mobile music consumption scenario, in which the user context frequently changes.  ... 
doi:10.1145/2578726.2582612 dblp:conf/mir/SchedlBI14 fatcat:jqfwpe7v2fcr7f2m2oh6sbtbl4

Who needs interaction anyway

Dominikus Baur, Bernhard Hering, Sebastian Boring, Andreas Butz
2011 Proceedings of the 15th international conference on Intelligent user interfaces - IUI '11  
In this paper we describe Rush 2, a music interface for mobile touch-screen devices that incorporates three interaction modes with varying degrees of automation: Adding songs manually, in quick succession  ...  In a two-week diary study (with in-depth interaction logging) we gained insight into how people interact with music in their everyday lives and how much automation and interactivity are really necessary  ...  With autofill being the main way of adding songs to a playlist, the quality of the recommended items was an important factor.  ... 
doi:10.1145/1943403.1943448 dblp:conf/iui/BaurHBB11 fatcat:e5amqfcy45gxlfkoyss3yh4cbu

Moody Tunes: The Rockanango Project

Nik Corthaut, Sten Govaerts, Erik Duval
2006 Zenodo  
A song is part of a context if it belongs to the union of songs belonging to the subcontexts. When generating playlists from a context, the weight has to be taken into account.  ...  Music selection is better and more varied over time. The use of contexts is as easy as using playlists. In fact, a context can be seen as a variable playlist and is presented this way in the GUI.  ... 
doi:10.5281/zenodo.1418211 fatcat:hntwvvjw6vasdn3oyjwfib4try

Creating collections with automatic suggestions and example-based refinement

Adrian Secord, Holger Winnemoeller, Wilmot Li, Mira Dontcheva
2010 Proceedings of the 23nd annual ACM symposium on User interface software and technology - UIST '10  
: 1) a suggestion widget for adding new items in-place in the context of the collection; 2) a mechanism for exploring alternatives for one or more collection items; and 3) a two-pane linked interface that  ...  SongSelect helps users create music playlists, and PhotoSelect helps users select photos for sharing.  ...  We would also like to thank all of our study participants and UIST reviewers for their time and efforts.  ... 
doi:10.1145/1866029.1866069 dblp:conf/uist/SecordWLD10 fatcat:yjed4qgwwrhj3oxsw54u3mfbva

A Framework for Recommending Collections

Jennifer Golbeck, Derek L. Hansen
2011 ACM Conference on Recommender Systems  
We believe this framing of an important problem will lead to new research in the development and evaluation of algorithms for recommending collections in interesting applications and with cross-domain  ...  Recommending collections of items rather than individual items is an important open space of research in the recommender systems community.  ...  Music libraries, wardrobes, and menus are other examples. Ordered or Unordered The order of items in a collection may be important or not.  ... 
dblp:conf/recsys/GolbeckH11 fatcat:3sq6cd7wjvejhaik4qlmaw2jrq

A Comprehensive Survey of Personalized Music Identifier System

Soumi Ghosh, Devanshu Tyagi, Daksh Vashisht, Abhishek Yadav, Dharmendra Rajput
2021 International journal of recent technology and engineering  
Music occupies a very important space in the heart and life of common people and it is rather subjective and universal nature indeed.  ...  a continuous and automatic top playlist of music and songs with added tracks matching with profile, mood, emotional traits, and behaviour of the user in a mobile environment.  ...  ., 2017 emphasized on importance of song context in the playlist of music and was of the opinion that while creating a long playlist with tracks, song order has an importance.  ... 
doi:10.35940/ijrte.f5316.039621 fatcat:mspco6bxsvhddolhebdui5jtte

Automatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning

Shun-Yao Shih, Heng-Yu Chi
2018 Zenodo  
By exploiting the techniques of deep learning and reinforcement learning, in this paper, we consider music playlist generation as a language modeling problem and solve it by the proposed attention language  ...  Songs can be well arranged by professional music curators to form a riveting playlist that creates engaging listening experiences.  ...  For a music radio with a specific topic, they can collect songs related to the topic and sort in a smooth context.  ... 
doi:10.5281/zenodo.1492370 fatcat:w3fajmvqpbalrc62ubwi3djnge

Automatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning [article]

Shun-Yao Shih, Heng-Yu Chi
2018 arXiv   pre-print
By exploiting the techniques of deep learning and reinforcement learning, in this paper, we consider music playlist generation as a language modeling problem and solve it by the proposed attention language  ...  Songs can be well arranged by professional music curators to form a riveting playlist that creates engaging listening experiences.  ...  For a music radio with a specific topic, they can collect songs related to the topic and sort in a smooth context.  ... 
arXiv:1809.04214v1 fatcat:m5aen2fqpjeidngoixuqg6uyy4

The Natural Language Of Playlists

Brian McFee, Gert R. G. Lanckriet
2011 Zenodo  
To demonstrate the technique, we developed a suite of simple baseline playlisters, and evaluated their performance on naturally occurring playlists.  ...  ., the Hellman Fellowship Program, and NSF Grants CCF-0830535 and IIS-1054960.  ...  Pauws and Eggen [18] asked users to provide a query song with a particular context-of-use in mind (e.g., lively music), which was used as a seed to generate a playlist.  ... 
doi:10.5281/zenodo.1418119 fatcat:vddmegq4ovauxi2i7z4hpq67sq

A hybrid approach to music playlist continuation based on playlist-song membership

Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer
2018 Proceedings of the 33rd Annual ACM Symposium on Applied Computing - SAC '18  
Automated music playlist continuation is a common task of music recommender systems, that generally consists in providing a fitting extension to a given playlist.  ...  In contrast to the collaborative filtering model, and as a result of its general understanding of the playlist-song pairs in terms of feature vectors, the proposed model is additionally able to (1) extend  ...  ACKNOWLEDGMENTS We thank Christine Bauer, Hamid Eghbal-Zadeh and Rocío del Río Lorenzo for their valuable comments and the helpful discussions.  ... 
doi:10.1145/3167132.3167280 dblp:conf/sac/VallDSW18 fatcat:bbgq7cyhbzeldclapv32t2wq3i

Feature-combination hybrid recommender systems for automated music playlist continuation

Andreu Vall, Matthias Dorfer, Hamid Eghbal-zadeh, Markus Schedl, Keki Burjorjee, Gerhard Widmer
2019 User modeling and user-adapted interaction  
An important task in music recommender systems is the automated continuation of music playlists, that enables the recommendation of music streams adapting to given (possibly short) listening sessions.  ...  of songs occurring in few playlists.  ...  , and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.  ... 
doi:10.1007/s11257-018-9215-8 fatcat:jyulfuajavftbjvhmxmk4kxl6q

Play Music An HCI Oriented Evaluation of Googles Default Music Player Interface [article]

Venkatesh Vijaykumar
2020 arXiv   pre-print
The improvements are largely centered on intuitive navigation and selection actions, in order to facilitate a smoother experience in creating, ordering, and adding to music playlists.  ...  The work embodied in this paper attempts to suggest a few improvements to the playlist creation task interface of the Google Play Music Android application based on recommended practices encountered in  ...  The context of observation would be in general instances that warrant the use of a music player application.  ... 
arXiv:2009.06494v1 fatcat:cympdncatnc7pc4jhdilabvya4

The Feasibility and Acceptability of a Smartphone-Based Music Intervention for Acute Pain

Peter R Chai, Kristin L Schreiber, S Wade Taylor, Guruprasad D Jambaulikar, Anna Kikut, Mohammad Adrian Hasdianda, Edward W Boyer
2019 Proceedings of the Annual Hawaii International Conference on System Sciences  
We hypothesized that a machine-learning generative music intervention in the form of a smartphone web app (Unwind) could be used to modulate the experience of pain.  ...  In particular, participants reported using Unwind to address their anxiety, and many used it to facilitate sleep in the presence of pain.  ...  Second, the music intervention is housed on a smartphone which requires constant internet access in order to generate songs.  ... 
pmid:30700971 pmcid:PMC6349590 fatcat:u7c4yb63wjev3fojnogarcqqka
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