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Titlebook: Recommender Systems for Medicine and Music; Zbigniew W. Ras,Alicja Wieczorkowska,Shusaku Tsumo Book 2021 Springer Nature Switzerland AG 20

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樓主: OAK
11#
發(fā)表于 2025-3-23 12:08:18 | 只看該作者
Music and Healthcare Recommendation Systems,s that recommend music for health purposes are briefly reviewed. Since the systems that recommend music explicitly for medical purposes are not commonly used yet, we focus on studies that explore the influence of music into human health in general. We also outline the inspirations for the future dev
12#
發(fā)表于 2025-3-23 15:11:03 | 只看該作者
Emotion-Based Music Recommender System for Tinnitus Patients (EMOTIN),tions. A framework and an algorithm for emotion-based music recommendations for tinnitus patients are proposed. The contribution is expected to be novel, as nobody yet proposed a music RS specifically to target negative emotions associated with tinnitus. The chapter is organized as follows. First, t
13#
發(fā)表于 2025-3-23 18:10:18 | 只看該作者
A Model of Typhlo Music Therapy in Educational and Rehabilitation Work with Visually Impaired Perso of typhlo music therapy. The model is based mainly on the sightless approach to experiencing music, the healing potential of music and, above all, the rehabilitative and therapeutic dimension of the human–music relationship. As a result, the fundamental feature which distinguishes the proposed meth
14#
發(fā)表于 2025-3-24 00:44:37 | 只看該作者
Repeated Listens in the Music Discovery Process,including a human-subjects study conducted by the authors, which tested the effects of repetition on retention rate. The results of the study indicate that with just one additional listen to a liked unfamiliar song, the listener is 10% more likely to revisit during normal listening.
15#
發(fā)表于 2025-3-24 03:26:58 | 只看該作者
16#
發(fā)表于 2025-3-24 08:02:22 | 只看該作者
17#
發(fā)表于 2025-3-24 11:45:35 | 只看該作者
18#
發(fā)表于 2025-3-24 18:45:30 | 只看該作者
19#
發(fā)表于 2025-3-24 22:23:26 | 只看該作者
20#
發(fā)表于 2025-3-25 03:14:19 | 只看該作者
Body Data for Music Information Retrieval Tasks,er is a review of systems and algorithms that use data from the body for the purpose of retrieving music. I aim to provide a theoretical background for these tasks as well as a review of current literature on the subject.
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