Intelligent Topic Crawler Based on Users Community
Yong Tang · Journal of Guangxi Normal University · 2007
A Community-Specific Intelligent Topic Crawler is introduced.This system mines the Web logs of community,which results in corresponding knowledge base.With the guidance of the knowledge base and multi-layer selective strategy,CITC fetch relevant pages selectively.The experiment shows that this system can fetch relevant pages efficiently based on the interest of user community.