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Erschienen in:
2005 | OriginalPaper | Buchkapitel
wHunter: A Focused Web Crawler – A Tool for Digital Library
verfasst von : Yun Huang, YunMing Ye
Erschienen in: Digital Libraries: International Collaboration and Cross-Fertilization
Verlag: Springer Berlin Heidelberg
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Topic-driven Web Crawler or focused crawler is the key tool of on-line web information library. It’s a challenging issue that how to achieve good performance efficiently with limited time and space resources. This paper proposes a focused web crawler wHunter that implements incremental and multi-strategy learning by taking the advantages of both SVM (support vector machines) and naïve Bayes. On the one hand, the initial performance is guaranteed via SVM classifier; on the other hand, when enough web pages are obtained, the classifier is switched to naïve Bayes so that on-line incremental learning is achieved. Experimental results show that our proposed algorithm is efficient and easy to implement.