Analysis of a context-aware recommender system model for smart urban environment

Charles Gouin-Vallerand, J. A. D. L. Cruz
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引用次数: 5

Abstract

Recommender systems, deployed on the web and in mobile devices, help users in finding services and products that are addressing their needs, based on their profile. On the other hand, such systems help also organizations in promoting their products or services to a targeted market. Users in mobility in smart urban spaces are surrounded with products and services, such as mobile device applications. In this paper, we are presenting the result of a survey, where participants had to give their opinions on recommendation modalities in several scenarios of context-aware service recommendation in urban environments. These results are followed by an analysis and a discussion.
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面向智慧城市环境的情境感知推荐系统模型分析
部署在网络和移动设备上的推荐系统,可以根据用户的个人资料,帮助用户找到满足其需求的服务和产品。另一方面,这样的系统也帮助组织向目标市场推广他们的产品或服务。智能城市空间中的移动用户被产品和服务包围,例如移动设备应用程序。在本文中,我们展示了一项调查的结果,在该调查中,参与者必须就城市环境中情境感知服务推荐的几种场景中的推荐模式给出他们的意见。对这些结果进行了分析和讨论。
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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