Focused crawling oriented intelligent tunneling algorithm research
智能隧道穿越算法研究

This paper proposed a new intelligent tunneling algorithm based on deep research on traditional focused crawling strategy. This algorithm combined with tunneling technology and fast online Q(λ) learning and led focused crawler to go through from low relevant areas to high ones with the smallest cost by online learning and experience accumulation. In the simulation experiment, compared intelligent tunneling algorithm with normal tunneling, the result shows that the intelligent tunneling algorithm has reduced the time space complexity and improves performance and increases efficiency of focused crawler.