Analysis and Design of Web Topic Search Based on TDT Technology
Xuedong Tian · Microcomputer Development · 2005
By combining TDT and on-line reinforcement learning,this paper puts forward a new Web topic search strategy based on Web environment precedence.The strategy results in an intelligent crawler.The accuracy of obtained documents is improved by TDT technique,which is based on domain knowledge.Using a function,based on reinforcement learning, to value Web pages and then to feature Web topic environment,this method works well in promoting the search efficiency on rare information in effect.The experiments show that this system is more effective.