Supporting Context-Aware Media Recommendations for Smart Phones
Supporting Context-Aware Media Recommendations for Smart Phones
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DOI：
10.1109/mprv.2006.61
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发表时间：
2006-07
影响因子：
1.6
通讯作者：
Zhiwen Yu;Xingshe Zhou;Daqing Zhang;Chung-Yau Chin;Xiaohang Wang;Ji Men
中科院分区：
文献类型：
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作者：
Zhiwen Yu;Xingshe Zhou;Daqing Zhang;Chung-Yau Chin;Xiaohang Wang;Ji Men
情境感知媒体推荐平台使用NtimesM维模型和混合处理方法来支持智能手机的媒体推荐、适配和交付。为了基于所有三个上下文类别为智能手机提供媒体推荐，我们提出了一个通用且灵活的NtimesM维(N2M)推荐模型。该模型将从用户偏好和情况到设备和网络能力的上下文信息考虑为内容和演示推荐的输入。我们提出了一种混合推荐方法，将基于内容的方法、贝叶斯分类器和基于规则的方法结合起来。基于该推荐模型和混合处理方法，我们构建了一个上下文感知的媒体推荐平台Comer，用于支持智能手机的媒体推荐、自适应和交付
A context-aware media recommendation platform uses an NtimesM-dimensional model and a hybrid processing approach to support media recommendation, adaptation, and delivery for smart phones. To provide media recommendations for smart phones based on all three context categories, we present a generic and flexible NtimesM-dimensional (N2M) recommendation model. The model considers context information ranging from user preference and situation to device and network capability as input for both content and presentation recommendations. We propose a hybrid recommendation approach to synergize content-based, Bayesian-classifier, and rule-based methods. Based on the recommendation model and hybrid-processing approach, we built a context-aware media recommendation platform called CoMeR to support media recommendation, adaptation, and delivery for smart phones