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論文タイトル： A Cross Domain Lyrics Recommendation from Tourist Spots Reviews with Distributed Representation of Words
著者： Yihong Han, Ryosuke Yamanishi, Yoko Nishihara and Kenta Oku
概要： 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 vector representation of reviews, the similarity between reviews and lyrics can be calculated.
書誌情報： CHI 2020, The Thirteenth International Conference on Advances in Computer-Human Interactions, Pages: 162 to 165
発表日：Nov 24, 2020