Abstract
The aim of ontologies is to formalize domain knowledge in a generic way and provide a common understanding of a domain, which may be used and shared by applications and groups.This study attempts to propose a framework to improve and upgrade the effectiveness of E-C recommendation by ontology building algorithms. As a result, a e-commerce system is built using the existing standards cited above by overcoming their limits and sharing their different advantages. This paper puts forward using ontology to build information recommendation system in e-commerce. The experimental results have shown our suggested information system will increase precision and performance.
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Zhang, J., Wang, Y. (2011). Using Ontology to Build Information Recommendation System in e-Commerce. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_22
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DOI: https://doi.org/10.1007/978-3-642-23753-9_22
Publisher Name: Springer, Berlin, Heidelberg
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