Shark search algorithm is a refined version of one of the first dynamic Web search algorithms, the "fish search" algorithm. This was introduced by Michael Hersovici et al., and the enclosed link details of the shark search algorithm.
Comments on the applications of the shark search algorithm are welcome!
http://www.cs.cmu.edu/~dpelleg/bin/360.html
The Shark-Search algorithm , a refined version of Fish-Search algorithm, is a kind of strategy, which was based on the analysis of text content. For the algorithms based on this strategy, they evaluate a link by computing the similarity among the contents of Web pages, the topics, and the similarity between anchor text and the topics.
Yuan, Y., Chen, D., Li, Y., Yu, D., Yan, L., & Zhu, Z. (2014). The improved Shark Search Approach for Crawling Large-scale Web Data. International Journal of Multimedia & Ubiquitous Engineering, 9(8).
http://www.sersc.org/journals/IJMUE/vol9_no8_2014/22.pdf
Li, Z. Q., Tan, Y., Guo, H. C., & Feng, C. (2014, November). An Improved Shark Search Algorithm Based on Domain Ontology. In Applied Mechanics and Materials (Vol. 651, pp. 2252-2257).
http://www.scientific.net/AMM.651-653.2252
Luo, L., Wang, R. B., Huang, X. X., & Chen, Z. Q. (2012). A novel shark-search algorithm for theme crawler. In Web Information Systems and Mining(pp. 603-609). Springer Berlin Heidelberg.
http://link.springer.com/chapter/10.1007/978-3-642-33469-6_75
http://www.sersc.org/journals/IJMUE/vol9_no8_2014/22.pdf
http://www.scientific.net/AMM.651-653.2252
http://link.springer.com/chapter/10.1007/978-3-642-33469-6_75
An interesting recent application of Shark Search Algorithm is this paper (2012):
"A Novel Shark-Search Algorithm for Theme Crawler" by Lei Luo,
Rong-bo Wang, Xiao-xi Huang, and Zhi-qun Chen
Web Information Systems and Mining
Lecture Notes in Computer Science Volume 7529, 2012, pp 603-609
Abstract
The shark-search algorithm is a classical content-based theme crawling algorithm. However, it has some disadvantages on crawling scope, including the viscousness phenomenon. To avoid this shortcoming of the original shark-search algorithm, an improved shark-search algorithm combining URL-analysis algorithm and host-control strategy is proposed in this paper. The accessed frequency of a host is considered in this new algorithm. The experimental results show that the proposed algorithm can overcome shortages of the original shark-search algorithm and improve the efficiency of a theme crawler.
http://link.springer.com/chapter/10.1007%2F978-3-642-33469-6_75
Accuracy is better in Shark search compared with several algorithms such as Best-first, Breadth-first, Pagerank, and HITS.
http://www.ijcset.com/docs/IJCSET13-04-04-102.pdf
The Shark-Search algorithm , a refined version of Fish-Search algorithm, is a kind of strategy, which was based on the analysis of text content. For the algorithms based on this strategy, they evaluate a link by computing the similarity among the contents of Web pages, the topics, and the similarity between anchor text and the topics.
Yuan, Y., Chen, D., Li, Y., Yu, D., Yan, L., & Zhu, Z. (2014). The improved Shark Search Approach for Crawling Large-scale Web Data. International Journal of Multimedia & Ubiquitous Engineering, 9(8).
http://www.sersc.org/journals/IJMUE/vol9_no8_2014/22.pdf
Li, Z. Q., Tan, Y., Guo, H. C., & Feng, C. (2014, November). An Improved Shark Search Algorithm Based on Domain Ontology. In Applied Mechanics and Materials (Vol. 651, pp. 2252-2257).
http://www.scientific.net/AMM.651-653.2252
Luo, L., Wang, R. B., Huang, X. X., & Chen, Z. Q. (2012). A novel shark-search algorithm for theme crawler. In Web Information Systems and Mining(pp. 603-609). Springer Berlin Heidelberg.
http://link.springer.com/chapter/10.1007/978-3-642-33469-6_75
http://www.sersc.org/journals/IJMUE/vol9_no8_2014/22.pdf
http://www.scientific.net/AMM.651-653.2252
http://link.springer.com/chapter/10.1007/978-3-642-33469-6_75
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