Abstract
Aiming at the limitations of traditional personalization approaches, this article analyzes the approach based on ontology, and proposes its practical method. This approach retains the relationships both between attributes of concepts and between concepts, providing more flexibility in matching usage profiles with current user session, which can improve the precision and coverage of the recommendation sets for personalization.
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Keywords
- Usage Profile
- Domain Ontology
- Combination Function
- Personalization Recommendation
- Semantic Similarity Measure
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2007 International Federation for Information Processing
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Dei, W., Yi, M. (2007). An Approach of Personalization for Electronic Commerce Websites Based on Ontology. In: Wang, W., Li, Y., Duan, Z., Yan, L., Li, H., Yang, X. (eds) Integration and Innovation Orient to E-Society Volume 1. IFIP — The International Federation for Information Processing, vol 251. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-75466-6_56
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DOI: https://doi.org/10.1007/978-0-387-75466-6_56
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-75465-9
Online ISBN: 978-0-387-75466-6
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