A Cloud Based Service Architecture for Personalized Media Recommendations

K. Gopalan, Senthil Nathan, H. BhanuTejaC., Ashok Babu Channa, Prateek Saraf, Guru Shanker
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引用次数: 7

Abstract

As the world becomes a highly interconnected place, there is an increasing demand for providing ubiquitous access to content and services over a wide variety of platforms and devices. There is an increasing need to provide rich, intelligent and personalized services to the user irrespective of his location or method of access. There is a need to be connected and have access to resources and services round the clock. All of the above requirements need to be fulfilled in a seamless and scalable fashion in order to support a rich user experience. The cloud computing paradigm has been proposed as the next generation infrastructure to support a highly scalable service oriented architecture to achieve these goals. Providing personalized content recommendation services that recommend content relevant to the user irrespective of his location or access device is an important step in improving user experience. In this paper we investigate the use of a context aware recommendation service based on the cloud model.
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基于云的个性化媒体推荐服务架构
随着世界成为一个高度互联的地方,在各种平台和设备上提供无处不在的内容和服务访问的需求越来越大。越来越需要向用户提供丰富、智能和个性化的服务,而不考虑其位置或访问方式。人们需要保持联系,全天候获得资源和服务。为了支持丰富的用户体验,需要以无缝和可伸缩的方式满足上述所有需求。云计算范式被提议作为下一代基础设施,以支持高度可伸缩的面向服务的体系结构来实现这些目标。提供个性化的内容推荐服务,无论用户的位置或访问设备如何,都可以推荐与用户相关的内容,这是改善用户体验的重要一步。本文研究了基于云模型的上下文感知推荐服务的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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