Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset

Users in consumption domains, like music, are often able to more efficiently provide preferences over a set of items (e.g. a playlist or radio) than over single items (e.g. songs). Unfortunately, this is an underexplored area of research, with most existing recommendation systems limited to understa...

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Veröffentlicht in:	arXiv.org 2023-05
Hauptverfasser:	Arun Tejasvi Chaganty, Leszczynski, Megan, Zhang, Shu, Ganti, Ravi, Balog, Krisztian, Radlinski, Filip
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Computation and Language Computer Science - Information Retrieval Data collection Datasets Recommender systems
Online-Zugang:	Volltext
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