Context-Aware Commodity Recommendation Information Service in E-commerce

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).