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Personalized Recommendation System Reflecting User Preference with Context-Awareness for Mobile TV

机译:个性化推荐系统通过移动电视的上下文感知反映用户的偏好

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Mobile TV provides multimedia contents to the user by wireless communication. Here the personalized recommendation system allows the users to easily select the contents wanting to access. In this paper we propose a personalized recommendation scheme which considers the activities of the user at runtime and the information on the environment around the user. It allows efficient operation in mobile device, and interoperability between the TV multimedia metadata and ontology. The accuracy of the proposed scheme is evaluated by an experiment, which reveals a significant improvement compared to the existing schemes.
机译:移动电视通过无线通信向用户提供多媒体内容。在这里,个性化推荐系统允许用户容易地选择想要访问的内容。在本文中,我们提出了一种个性化的推荐方案,该方案考虑了用户在运行时的活动以及有关用户周围环境的信息。它允许在移动设备中进行有效操作,以及电视多媒体元数据和本体之间的互操作性。通过实验评估了所提出方案的准确性,与现有方案相比,该方案显示出显着的改进。

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