학술논문
An Ontology-Based Product Recommender System for B2B Marketplaces.
Document Type
Article
Author
Source
Subject
*Electronic commerce
*Electronic information resource searching
*Business-to-business transactions
*Expert systems
*Information storage & retrieval systems
*Marketing
*Bayesian analysis
*Product management software
*Product information management
Keyword searching
Ontology
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Language
ISSN
1086-4415
Abstract
An ontology-based product-recommender system can help catalog administrators in B2B marketplaces maintain up-to-date product databases by acquiring mapping information between the new product data and existing data. The proposed approach is keyword-based and independent of the underlying physical structure of product ontology. With a Bayesian belief network as its basis, the ranking algorithm utilizes semantics embedded within relationships defined in ontology to probabilistically determine the ranking scores. The methodology is implemented on a practical ontology system powerful enough to assist users in B2B marketplaces. Its effectiveness is demonstrated in comparison to the conventional search engines. [ABSTRACT FROM AUTHOR]