Automatic Retrieval Model of Template Web Topic Information based on Vector Space 

Qun Gao 

Business School, Shandong University of Technology, Zibo, 255000, China 

Abstract: In order to better realize the accurate retrieval of massive information in web pages, an optimization method of template web page theme information automatic retrieval model based on vector space is proposed. Combined with the principle of feature collection, the feature entry and exit retrieval of template web page theme information is analyzed, and the collected results are output and sorted to realize the automatic retrieval processing of template web page theme information. Finally, experiments prove that the template web topic information automatic retrieval model based on vector space has higher accuracy and fully meets the research requirements. 

Keywords: Vector space; Template; The theme of the webpage; Automatic retrieval