Recommender system in ubiquitous commerce

S. Manvi, N. Nalini, L. B. Bhajantri
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引用次数: 12

Abstract

Commerce is a rapidly emerging application area of ubiquitous computing. Electronic commerce (e-commerce), mobile commerce (m-commerce) and ubiquitous commerce (u-commerce) are based not only on developments pertaining to the Internet compound, but also on prior technological and organizational innovations arising from the combination of telecommunications and organizational computing. A ubiquitous commerce is a service requested according to the customer's personal profile, which typically include individual preferences, keeping the technical constraints of mobile device in use and the context of operating environment using recommender system. In ubiquitous environment, a recommender system is an important key role that is used to provide suitable recommendation solutions to the customers. Recommender system addresses a variety of ubiquitous commerce needs. In ubiquitous commerce, contextual information must be incorporated into the recommendation process for offering quicker and relevant services. This paper attempts to present basic concepts like methods of recommender system, issues and challenges of recommender system in u-commerce, context aware recommender system and finally, discusses a sample scenario of recommender system in u-commerce.
无处不在的商业推荐系统
商业是一个迅速兴起的普适计算应用领域。电子商务(e-commerce)、移动商务(m-commerce)和无处不在的商务(u-commerce)不仅基于与互联网相关的发展,而且还基于先前的技术和组织创新,这些创新源于电信和组织计算的结合。无所不在的商务是根据客户的个人资料请求的服务,通常包括个人偏好,使用移动设备的技术限制和使用推荐系统的操作环境的上下文。在泛在环境中,推荐系统是为客户提供合适的推荐方案的重要关键角色。推荐系统解决了各种无处不在的商业需求。在无处不在的商业中,为了提供更快、更相关的服务,必须将上下文信息整合到推荐过程中。本文试图介绍推荐系统的基本概念,如推荐系统的方法、u-commerce中推荐系统的问题和挑战、上下文感知的推荐系统,最后讨论了一个u-commerce中推荐系统的示例场景。
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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