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Characterisation of explicit feedback in an online music recommendation service

Jawaheer, G; Szomszor, M; Kostkova, P; (2010) Characterisation of explicit feedback in an online music recommendation service. In: RecSys '10: Proceedings of the fourth ACM conference on Recommender systemsSeptember 2010. (pp. pp. 317-320). ACM: Barcelona Spain. Green open access

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Abstract

In this paper, we present our study and characterisation of explicit and implicit feedback on Last.fm, an online music station and recommender service. The dataset consisted of explicit positive feedback (through loved tracks) and implicit positive feedback (the number of times a track is played). As one would expect, our analysis shows that explicit feedback is very scarce. However, we also found that the rate at which a user provides explicit feedback decreases with time, and that overall leaving explicit feedback has a negative effect on the user's behaviour. Copyright 2010 ACM.

Type: Proceedings paper
Title: Characterisation of explicit feedback in an online music recommendation service
Event: RecSys '10: Proceedings of the fourth ACM conference on Recommender systemsSeptember 2010
ISBN-13: 9781450304429
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/1864708.1864776
Publisher version: https://doi.org/10.1145/1864708.1864776
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction
URI: https://discovery.ucl.ac.uk/id/eprint/10088997
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