Intelligent User Interfaces for Social Music Discovery and Exploration of Large-scale Music Repositories

M. Schedl
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引用次数: 7

Abstract

In this position paper, we address the question of how to make music search and discovery more appealing, more exciting, and more joyful. In particular, we argue to research methods that foster serendipitous encounters with music items and to integrate ways for social interaction while exploring music collections and discovering the gems in today's huge catalogs available through online streaming platforms. We identify two major challenges here: the need for (i) highly efficient clustering and information visualization techniques that scale to these music catalogs and (ii) novel user interfaces that explain the clustering of music items and provide means to make the exploration of music a social event.
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面向社会音乐发现和大规模音乐资源库探索的智能用户界面
在这份意见书中,我们讨论了如何让音乐搜索和发现更吸引人、更令人兴奋、更快乐的问题。特别是,我们主张研究方法,以促进与音乐项目的偶然相遇,并整合社交互动的方式,同时探索音乐收藏,并通过在线流媒体平台发现当今庞大的目录中的宝石。我们在这里确定了两个主要挑战:需要(i)高效的聚类和信息可视化技术,以扩展到这些音乐目录;(ii)新颖的用户界面,解释音乐项目的聚类,并提供使音乐探索成为社会事件的方法。
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Proceedings of the 2017 ACM Workshop on Theory-Informed User Modeling for Tailoring and Personalizing Interfaces Session details: Exploiting Big Data Session details: Personality-Based Personalization Modeling Characteristics of Location from User Photos Session details: Research Methodology
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