Design and Implementation of Focused Search Engine Based on Improved SVM Algorithm
QIAO Pingan
TIAN Jingjing
REN Jing
Abstract：Search Engine have a vital role in search engines. In order to solve the problem that the traditional Search Engine crawles the inefficient webpage information in specific fields,an improved Search Engine algorithm based on improved Support Vec?tor Machine(SVM)is proposed based on the analysis of traditional Search Engine algorithm. The algorithm is used to optimize the Search Engine algorithm based on the weight feature extraction method based on Uncertainty Measure(UM). The experimental re?sults show that this feature extraction method greatly improves the rate of reptiles,and the recall and precision are improved.
Keywords：search enginefeature extractionUMSVMrate
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2145-2149,2154 )