Abstract
E-commerce websites analyze the interests and habits of users and recommend products by recommendation systems now. But the traditional recommendation systems have some shortcomings, such as data sparsity and digging out the potential demand. Ontology is a formal, explicit specification of a shared conceptual model. The aim of ontology is to obtain, describe and express the knowledge of related domain. Ontology model is proposed based on integrating of ontology model, formal concept analysis, and is used to reduce formal context. This type of recommendation has better results in comparison with other type of recommendation. The experimental results have shown our suggested recommender system will increase precision and performance.
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Sun, X., Li, J. (2011). Application of Recommender System Based on Domain Ontology with Modern Information Technology. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 216. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23345-6_106
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DOI: https://doi.org/10.1007/978-3-642-23345-6_106
Publisher Name: Springer, Berlin, Heidelberg
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