A personalized and integrative comparison-shopping engine and its applications
Decision Support Systems - Special issue: Agents and e-commerce business models
Incremental Personalized Web Page Mining Utilizing Self-Organizing HCMAC Neural Network
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
A Neural Network Based Approach to Automated E-Mail Classification
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Web page feature selection and classification using neural networks
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Automatic Extraction of Pedagogic Metadata from Learning Content
International Journal of Artificial Intelligence in Education
Automatic metadata mining from multilingual enterprise content
Web Semantics: Science, Services and Agents on the World Wide Web
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Metadata technologies can allow the proper search and processing of Web pages, which has been used in many fields, such as e-commerce, library science, web search, and so on. In the approach, a novel framework is proposed to automatically generate Dublin Core metadata about web pages, what is finally expressed in XML. The framework is located on a web server, where can provide detailed information about web pages to generate the metadata. Moreover, the framework utilizes a combination of a well-trained neural network and traditional statistical methods to filter proper value for the metadata. Experimental results show that the proposed framework is preferable to the traditional statistical method.