{"title":"Local Modeling for WebGraph Compression","authors":"V. Anh, Alistair Moffat","doi":"10.1109/DCC.2010.59","DOIUrl":null,"url":null,"abstract":"We describe a simple hierarchical scheme for webgraph compression, which supports efficient in-memory and from-disk decoding of page neighborhoods, for neighborhoods defined for both incoming and outgoing links. The scheme is highly competitive in terms of both compression effectiveness and decoding speed.","PeriodicalId":299459,"journal":{"name":"2010 Data Compression Conference","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2010.59","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
We describe a simple hierarchical scheme for webgraph compression, which supports efficient in-memory and from-disk decoding of page neighborhoods, for neighborhoods defined for both incoming and outgoing links. The scheme is highly competitive in terms of both compression effectiveness and decoding speed.