Abstract
This paper presents a new search engine-Luka. Luka uses the cluster crawlers to enhance the search performance. We put forward a new web page ranking algorithm to improve the relevance of the results of search engines in Luka. This algorithm combines a link analysis algorithm with content correlation techniques to dynamically rank the pages, which are more relevant to the query. We use the anchor text of a Web page to compute its similarity to the query and use the similarity to readjust the rank of the page pre-calculated with the PageRank algorithm. Our experiments have shown a significant improvement to the current link analysis algorithm.
Funding provided by NSFC Major International Cooperation Program No.60221120145.
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Ling, Z., Fanyuan, M., Yunming, Y. (2002). An Intelligent Search Engine Using Improved Web Hyperlink Mining Algorithm. In: Hommel, G., Huanye, S. (eds) The Internet Challenge: Technology and Applications. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0494-7_2
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DOI: https://doi.org/10.1007/978-94-010-0494-7_2
Publisher Name: Springer, Dordrecht
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