{"title":"网页变化频率的参数可调估计方法","authors":"Shuchen Tan, Xuan Zhang","doi":"10.1109/ICEE.2010.352","DOIUrl":null,"url":null,"abstract":"Refreshing on-line information in time is a main task of incremental crawling, so it is very important to predict the change frequency of web pages. We model the change of page as a Poisson process in this paper. And based on it, we propose a parameter-adjustable algorithm after considering the unbiasedness, efficiency and consistency comprehensively. This algorithm can adjust the parameters in order to estimate the change frequency more effective.","PeriodicalId":420284,"journal":{"name":"2010 International Conference on E-Business and E-Government","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Parameter-Adjustable Estimating Method for Change Frequency of Web Pages\",\"authors\":\"Shuchen Tan, Xuan Zhang\",\"doi\":\"10.1109/ICEE.2010.352\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Refreshing on-line information in time is a main task of incremental crawling, so it is very important to predict the change frequency of web pages. We model the change of page as a Poisson process in this paper. And based on it, we propose a parameter-adjustable algorithm after considering the unbiasedness, efficiency and consistency comprehensively. This algorithm can adjust the parameters in order to estimate the change frequency more effective.\",\"PeriodicalId\":420284,\"journal\":{\"name\":\"2010 International Conference on E-Business and E-Government\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on E-Business and E-Government\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEE.2010.352\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on E-Business and E-Government","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE.2010.352","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Parameter-Adjustable Estimating Method for Change Frequency of Web Pages
Refreshing on-line information in time is a main task of incremental crawling, so it is very important to predict the change frequency of web pages. We model the change of page as a Poisson process in this paper. And based on it, we propose a parameter-adjustable algorithm after considering the unbiasedness, efficiency and consistency comprehensively. This algorithm can adjust the parameters in order to estimate the change frequency more effective.
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