Virtual jukebox: reviving a classic

Drews, Clemens; Pestoni, Florian

doi:10.1109/hicss.2002.994055

Cited by 2 publications

References 1 publication

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A Case-Based Song Scheduler for Group Customised Radio

Baccigalupo

Plaza

Lecture Notes in Computer Science

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This paper presents a knowledge-intensive Case-Based Reasoning system to generate a sequence of songs customised for a community of listeners. To select each song in the sequence, first a subset of songs musically associated with the last song of the sequence is retrieved from a music pool; then the preferences of the audience expressed as cases are reused to customise the selection for the group of listeners; finally listeners can revise their satisfaction (or lack thereof) for the songs they have heard. We have integrated this CBR system with Poolcasting, a social group-based Web radio architecture in which listeners can actively contribute to the music played and influence the channels programming process. The paper introduces the Poolcasting architecture, presents the CBR technique that tailors in real-time the music of each channel for the current audience, and discusses how this approach may radically improve the group-satisfaction of the audience for a Web radio.

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A Case-Based Song Scheduler for Group Customised Radio

Baccigalupo

Plaza

Lecture Notes in Computer Science

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Surveying More Than Two Decades of Music Information Retrieval Research on Playlists

Gabbolini,

Bridge

2024

ACM Trans. Intell. Syst. Technol.

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In this paper, we present an extensive survey of music information retrieval (MIR) research into music playlists. Our survey spans more than 20 years, and includes around 300 papers about playlists, with over 70 supporting sources. It is the first survey that is self-contained in the sense that it combines all the different MIR research into playlists. It embraces topics such as algorithms for automatic generation, for automatic continuation, for assisting with manual generation, for tagging and for captioning. It looks at manually constructed playlists, both those that are constructed for and by individuals, and those constructed in collaboration with others. It covers ground-breaking research into enhancing playlists by cross-fading consecutive songs and by interleaving consecutive songs with speech, similar to what happens on a radio show. Most significantly, it is the first survey that can fully incorporate the paradigm shift that has taken place in the way people consume recorded music: the shift from physical media to music streaming. This has wrought profound changes in the size of music collections available to listeners and thus the algorithms that support the construction, curation and presentation of playlists and the methods adopted by users when they also construct, curate and listen to playlists.

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Virtual jukebox: reviving a classic

Cited by 2 publications

References 1 publication

A Case-Based Song Scheduler for Group Customised Radio

A Case-Based Song Scheduler for Group Customised Radio

Surveying More Than Two Decades of Music Information Retrieval Research on Playlists

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