An Advanced the Forecasting Strategy for Intelligence Topic Relativity Based on PageRank
Qingsong Huang · Microcomputer applications · 2010
Choosing the appropriate forecasting strategy for the topic relativity is one of the core techniques of intelligence gathering, which controls the quality of gathered intelligence and also provide accurate and effective material for enterprises and decision.The forecasting strategy relying solely on text or links can not forecast the value of web pages to be crawled accurately and effectively. This thesis advances Focused PageRank,which is a topic—based PageRank,to count the priority of web pages URL.By Focused PageRank, topic relativity of the page content is considered to raise the quality of crawled pages,and the importance of web pages is forecasted through web page links. Thus the speed and efficiency of intelligence gathering areimproved.And web pages,priority arrangement under different topics is realized.So, intelligence gathering of multi—topics in enterprise Competitive intelligence system is suited.