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Context-Aware Commodity Recommendation Information Service in E-commerce

机译:电子商务中的上下文感知商品推荐信息服务

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摘要

It is difficult for users to acquire personal commodity information in E-commerce services. In order to solve the problem, we propose a methodology to enhance the ease of obtain such information. This paper develops a framework for e-commerce services. The framework is based on information context awareness. The core component of this framework or architecture is facilitated by combining the ontology model of enterprise-product information and user (client) context ontology model. Thought such mechanism and advanced algorithm, a mapping relationship between two ontology models can be developed, thus a hybrid model and implement settling can be built and it through the well-defined prototype named Context-aware Commodity Recommendation Information Service (CACRIS).
机译:用户很难在电子商务服务中获取个人商品信息。为了解决该问题,我们提出了一种方法来提高获得此类信息的难度。本文开发了电子商务服务的框架。该框架基于信息上下文意识。通过结合企业产品信息的本体模型和用户(客户端)上下文本体模型,可以促进此框架或体系结构的核心组件。通过这种机制和高级算法,可以开发两个本体模型之间的映射关系,从而可以通过定义明确的原型(称为上下文感知商品推荐信息服务(CACRIS))来构建混合模型和实现解决方案。

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