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• W1482104932 abstract "This paper studies the web wrapper generation for web pages of forum, blog and news web sites. While more and more web pages are dynamically generated using a common template populated with data from databases. This paper proposes a novel method that uses tree alignment and transfer learning method to generate the wrapper from this kind of web pages. We present a new tree alignment algorithm to find the best matching structure of the input web pages. A kind of linear regression method is employed to get the weight of different tag-matching. Based on the alignment, we merge the trees into one union tree whose nodes record the statistical information gotten from multiple web pages. We use a transfer learning method to find the most likely content block and use the alignment algorithm to detect the repeat patterns on the union tree. After that, we generate a wrapper to extract data from web pages. Experimental results show that the method can achieve high extraction accuracy and has steady performance." @default.
• W1482104932 created "2016-06-24" @default.
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• W1482104932 date "2010-06-23" @default.
• W1482104932 modified "2023-09-22" @default.
• W1482104932 title "Web wrapper generation using tree alignment and transfer learning" @default.
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