Vítor Mangaravite, G. T. Assis, Anderson A. Ferreira
{"title":"Improving the Efficiency of a Genre-Aware Approach to Focused Crawling Based on Link Context","authors":"Vítor Mangaravite, G. T. Assis, Anderson A. Ferreira","doi":"10.1109/LA-WEB.2012.24","DOIUrl":null,"url":null,"abstract":"Focused crawlers attempt to crawl web pages that are relevant to a specific topic or user interest. Although these kinds of crawlers have been proven to be effective, they need to improve their efficiency. Focused crawlers usually use a Frontier of non-visited URLs to visit the web pages and gather relavant ones. In this work, we define and evaluate a queueing policy of non-visited URLs, based on link context, to improve the efficiency of a genre-aware focused crawler. Our experimental evaluation shows, in some situations, an improvement around 100% in efficiency terms.","PeriodicalId":333389,"journal":{"name":"2012 Eighth Latin American Web Congress","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Eighth Latin American Web Congress","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LA-WEB.2012.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Focused crawlers attempt to crawl web pages that are relevant to a specific topic or user interest. Although these kinds of crawlers have been proven to be effective, they need to improve their efficiency. Focused crawlers usually use a Frontier of non-visited URLs to visit the web pages and gather relavant ones. In this work, we define and evaluate a queueing policy of non-visited URLs, based on link context, to improve the efficiency of a genre-aware focused crawler. Our experimental evaluation shows, in some situations, an improvement around 100% in efficiency terms.