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Song Recommendation System on Mobility Based on Geotagged Tweets and User Preferences

Authors:
Nobutaka Hayashi
Yuanyuan Wang
Kazutoshi Sumiya
Yukiko Kawai

Keywords: Song Recommendation

Abstract:
we propose a method for recommending songs that match the atmosphere of spots along the route and the user's preferences. The proposed method extracts the ambiance around the spot from Social Networking Service data, the artist's atmosphere from a set of songs, and the user's preferences from the play history. We evaluate the proposed method of artist extraction for a spot.

Pages: 1 to 2

Copyright: Copyright (c) IARIA, 2023

Publication date: March 13, 2023

Published in: conference

ISSN: 2308-4421

ISBN: 978-1-68558-055-1

Location: Barcelona, Spain

Dates: from March 13, 2023 to March 17, 2023