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Evaluating Music Discovery Tools on Spotify: The Role of User Preference Characteristics

Volume / Date

 VOL. 15 (NO. 1) / JUN.2017

Page

 pp. 1-16

DOI

 10.6182/jlis.2017.15(1).001

Language

 English

Muh-Chyun Tang*, Mang-Yuan Yang

* Corresponding Author

Muh-Chyun Tang* Department and Graduate Institute of Library and Information Science, National Taiwan University, Taipei, Taiwan
ORCID: 0000-0001-7321-6927
mctang@ntu.edu.tw
Mang-Yuan Yang Department and Graduate Institute of Library and Information Science, National Taiwan University, Taipei, Taiwan

Abstract

An experimental study was conducted to assess the effectiveness of the four music discovery tools available on Spotify, a popular music streaming service, namely: radio recommendation, regional charts, genres and moods, as well as following Facebook friends. Both subjective judgment of user experience and objective measures of search effectiveness were used as the performance criteria. Other than comparison of these four tools, we also compared how consistent are these performance measures. The results show that user experience criteria were not necessarily corresponded to search effectiveness. Furthermore, three user preference characteristics: preference diversity, preference insight, and openness to novelty were introduced as mediating variables, with an aim to investigating how these attributes might interact with these four music discovery tools on performance. The results suggest that users' preference characteristics did have an impact on the performance of these music discovery tools.

Keywords

Music Retrieval; Online Music Services; Spotify; Evaluation; User Experience