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20 July 2001 Automatic web filtering approach based on multimodal content information
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Proceedings Volume 4519, Internet Multimedia Management Systems II; (2001) https://doi.org/10.1117/12.434268
Event: ITCom 2001: International Symposium on the Convergence of IT and Communications, 2001, Denver, CO, United States
Abstract
An automatic web content classification system is proposed in this research for web information filtering. A sample group of web contents are first collected via commercial search engines. Then, they are classified into different subject group and more related web pages can be searched for further analysis. It can free from the troublesome and routine process that are performed by human beings in most search engines. And the clustered information can be updated at any specified time automatically. Preliminary experimental results are used to demonstrate the effectiveness of the performance of the proposed system.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei H. Ming, Lorenzo Rossi, Ying Li, and C.-C. Jay Kuo "Automatic web filtering approach based on multimodal content information", Proc. SPIE 4519, Internet Multimedia Management Systems II, (20 July 2001); doi: 10.1117/12.434268; https://doi.org/10.1117/12.434268
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