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A Survey about Algorithms Utilized by Focused Web Crawler

Journal of Electronic Science and Technology 2018年第2期16卷 129-138页

作者： Yong-Bin Yu Shi-Lei Huang Nyima Tashi Huan Zhang Fei Lei Lin-Yang Wu School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu 610054 School of Information Science and Technology Tibet UniversityLhasa 850000 School of Electronic Information and Engineering Xi'an Jiaotong UniversityXi'an 710049 Zhejiang University Hangzhou 310058

Abstract—Focused crawlers （also known as subjectoriented crawlers）, as the core part of vertical search engine, collect topic-specific web pages as many as they can to form a subject-oriented corpus for the latter data analyzing or user querying. This paper demonstrates that the popular algorithms utilized at the process of focused web crawling, basically refer to webpage analyzing algorithms and crawling strategies （prioritize the uniform resource locator （URLs） in the queue）. Advantages and disadvantages of three crawling strategies are shown in the first experiment, which indicates that the best-first search with an appropriate heuristics is a smart choice for topic-oriented crawlingwhile the depth-first search is helpless in focused crawling. Besides, another experiment on comparison of improved ones （with a webpage analyzing algorithm added） is carried out to verify that crawling strategies alone are not quite efficient for focused crawling and in most cases their mutual efforts are taken into consideration. In light of the experiment results and recent researches, some points on the research tendency of focused crawler algorithms are suggested.

关键词： crawling strategies focused crawler harvest rate uniform resource locator(URL) prioritizing webpage analyzing

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