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首页> 外文期刊>Journal of ambient intelligence and smart environments >Ambient shopping advertisement using rough service domain
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Ambient shopping advertisement using rough service domain

机译：使用粗糙服务域的环境购物广告

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摘要

Ambient service is a kind of context aware services which is related to the surrounding environment of the users. In other word, geographic area around the users is considered as contextual data to provide services. So ambient services term is used to emphasize the association of context aware services with geographic areas called ambient service domain. Service domains have sharp and clear boundaries in current ambient services. However because of inaccurate positioning systems and some linguistic and fuzzy phrases used to define ambient service domain (e.g. around, here, far, near), it is necessary to define service domains in a framework which can handle their uncertainty. If an uncertain spatial object is modeled in a certain and crisp framework, some of data related to that object will be missed. In this regard, rough set theory, as a simple and powerful device to consider uncertainty, is considered to model ambient service domains and based on them, ambient services are provided to users. To test our model, users commented on ambient shop based on rough service domain and compare it with classic ambient shop, 73% of users became more interested in rough based version because some of users in classic services were excluded and did not receive services whereas they are getting services in rough based version.
机译：环境服务是一种上下文感知服务，与用户的周围环境有关。换句话说，用户周围的地理区域被视为提供服务的上下文数据。因此，环境服务术语用于强调上下文感知服务与称为环境服务域的地理区域的关联。服务域在当前的环境服务中具有明确的界限。但是，由于定位系统不准确以及用于定义环境服务域的一些语言和模糊短语（例如，在此处，在附近，在附近，在附近），有必要在可以处理其不确定性的框架中定义服务域。如果不确定的空间对象是在特定且清晰的框架中建模的，则与该对象有关的某些数据将丢失。在这方面，粗糙集理论作为一种用于考虑不确定性的简单而强大的工具，被认为可以对环境服务域进行建模，并基于它们为用户提供环境服务。为了测试我们的模型，用户评论了基于粗糙服务域的环境商店，并将其与经典环境商店进行了比较，有73％的用户对基于粗糙环境的版本变得更加感兴趣，因为经典服务中的某些用户被排除在外，而他们并未获得服务正在获得基于粗糙版本的服务。

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