Path: Top -> Journal -> Telkomnika -> 2014 -> Vol 12, No 4: December
A Model of Vertical Crawler Based on Hidden Markov Chain
A Model of Vertical Crawler Based on Hidden Markov Chain
Journal from gdlhub / 2016-11-15 04:23:45Oleh : Ye Hu, Jun Tu, Wangyu Tong, Telkomnika
Dibuat : 2014-12-01, dengan 1 file
Keyword : hidden markov model, crawler, uniform resource locator
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/981
The large size and the dynamic nature of the Web make it necessary to continually maintain Web based information retrieval systems. In order to get more objects by visiting few irrelevant web pages, the web crawler usually takes the heuristic searching strategy that ranks urls by their importance and preferentially visits the more important web pages. While some systems rely on crawlers that exhaustively crawl the Web, others incorporate focus within their crawlers to harvest application or topic-specific collections. In this paper, using the Hidden Markov Model(HMM) learning ability to solve the problem of the theme of the crawler drift, has obtained the certain effect.
Deskripsi Alternatif :The large size and the dynamic nature of the Web make it necessary to continually maintain Web based information retrieval systems. In order to get more objects by visiting few irrelevant web pages, the web crawler usually takes the heuristic searching strategy that ranks urls by their importance and preferentially visits the more important web pages. While some systems rely on crawlers that exhaustively crawl the Web, others incorporate focus within their crawlers to harvest application or topic-specific collections. In this paper, using the Hidden Markov Model(HMM) learning ability to solve the problem of the theme of the crawler drift, has obtained the certain effect.
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