Home // ACHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions // View article
Authors:
Yihong Han
Ryosuke Yamanishi
Yoko Nishihara
Kenta Oku
Keywords: Music Information Retrieval; Lyrics; Context Aware Music Recommendation; Cross Domain Search.
Abstract:
In this paper, we propose a system for recommending lyrics similar to the context of the reviews of a tourist spot. The system is based on the technique of distributed representation of words. Instead of the metadata, such as genres and artists, the proposed approach takes the listening environment into consideration. By using the listening environment, it is possible to recommend music lyrics that fit the atmosphere of a tourist spot when the user enjoys the sightseeing. In this paper, the proposed system recommends the music that fits the atmosphere of a tourist spot by sharing the distributed representation beyond the domains of lyrics and reviews. The system uses a lyrics corpus to build the distributed representation model, and the reviews' vectors are calculated with the model. As a result, the tourist spot reviews are assumed to be types of lyrics. Based on the lyric-like vectaor representation of reviews, the similarity between reviews and lyrics can be calculated.
Pages: 255 to 258
Copyright: Copyright (c) IARIA, 2020
Publication date: March 22, 2020
Published in: conference
ISSN: 2308-4138
ISBN: 978-1-61208-761-0
Location: Valencia, Spain
Dates: from November 21, 2020 to November 25, 2020