Shopping information extraction method based on rapid construction of template
Li Pin · Journal of Computer Applications · 2014
Concerning the shopping information Web page constructed by template, and the large number of Web information and complex Web structure, this paper studied how to extract the shopping information from the Web page template by not using the complex learning rule. The paper defined the Web page template and the extraction template of Web page and designed template language that was used to construct the template. This paper also gave a model of extraction based on template. The experimental results show that the recall rate of the proposed method is 12% higher than the Extraction problem Algorithm( EXALG) by testing the standard 450 Web pages; the results also show that the recall rate of this method is 7. 4% higher than Visual information and Tag structure based wrapper generator( ViNTs) method and 0. 2% higher than Augmenting automatic information extraction with visual perceptions( ViPER) method and the accuracy rate of this method is 5. 2% higher than ViNTs method and 0. 2% higher than ViPER method by testing the standard 250 Web pages. The recall rate and the accuracy rate of the extraction method based on the rapid construction template are improved a lot which makes the accuracy of the Web page analysis and the recall rate of the information in the shopping information retrieval and the shopping comparison system improve a lot.