首页> 外文会议>International Symposium on Ubiquitous Computing Systems(UCS 2007); 20071125-28; Tokyo(JP) >Context Awareness by Case-Based Reasoning in a Music Recommendation System
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Context Awareness by Case-Based Reasoning in a Music Recommendation System

机译:音乐推荐系统中基于案例的推理对上下文的感知

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摘要

The recommendation system is one of the core technologies for implementing personalization services. Recommendation systems in ubiquitous computing environment should have the capability of context-awareness. In this research, we developed a music recommendation system, which we shall call C~2_Music, which utilizes not only the user's demographics and behavioral patterns but also the user's context. For a specific user in a specific context, the C~2_Music recommends the music that the similar users listened most in the similar context. In evaluating the performance of C~2_Music using a real world data, it outperforms the comparative system that utilizes the user's demographics and behavioral patterns only.
机译:推荐系统是实现个性化服务的核心技术之一。普适计算环境中的推荐系统应具有上下文感知能力。在这项研究中,我们开发了一种音乐推荐系统,我们将其称为C〜2_Music,它不仅利用了用户的人口统计和行为方式,而且还利用了用户的环境。对于特定上下文中的特定用户,C〜2_Music推荐相似用户在相似上下文中最多听的音乐。在使用实际数据评估C〜2_Music的性能时,它的性能优于仅使用用户的人口统计和行为模式的比较系统。

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