Industry-Oriented Topic Search Methods

Abstract

The invention discloses an industry-oriented topic search method. It includes initialization and establishment of the initial queue to be crawled, respectively judging whether the crawling time has been reached and whether the queue to be crawled is empty, using the Shark-Search-Advanced algorithm to calculate the correlation value between the web page and the topic, and using the PageRank-Advanced algorithm to calculate The connection value of the webpage and the ranking score of the webpage determine whether the time interval for the crawler to crawl again has been reached. The present invention can effectively improve the accuracy and reliability of search results, thereby efficiently obtaining search results with high accuracy and high coverage, and ensuring that the search engine can respond to user-oriented requests for specific industries with high efficiency, high accuracy, and high coverage. Search requirements.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, and in particular relates to an industry-oriented subject search method. Background technique [0002] The Internet has become the most important way for people to disseminate information and acquire content. The general search engines represented by Google, Baidu, and Bing provide great convenience for people to obtain information quickly and accurately on the Internet. However, general-purpose search engines need to build a huge search database, and the search content is oriented to the entire network. When users need to conduct vertical searches on specific industries, their accuracy rate is relatively low and resource consumption is large. At the same time, the vertical search engines represented by Qunar and Sogou Shopping have built their own databases for special fields, with heavy industry constraints, insufficient application flexibility, and unsatisfactory recall rates. ...

AI Technical Summary

Problems solved by technology

This method can establish a theme database with low redundancy, but if the correlation degree is used to sort, although the retrieval results are highly relevant to the theme, it reduces the overallness and cannot guarantee the reliability of the content; degree score ranking, the relevance between the search results and the topic cannot be guaranteed, resulting in "topic drift"

Images