Specific Search Engine Identification Model Based on Improved TF-IDF and SVM

Search engines have become one of the indispensable tools on the Internet. A specific search engine identification model can effectively identify the types of search engines. The model constructs website feature vectors according to the already mastered website samples and common website samples. And the text feature vectors calculated according to the improved TF-IDF algorithm are used to build a support vector machine (SVM)-based search engine recognition model. Finally, 2,000 website data were randomly selected from the 300,000 search engine-related website source data. After verification, the model has a high recognition rate for specific types of search engines.