Multivariate analysis of Web content changes

Maria Carla Calzarossa, Daniele Tessera

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

News websites are expected to deliver in a timely manner the latest stories as well as their latest developments. Thereby, tools, such as, search engines, need to cope with these rapid and frequent content changes by adjusting their crawling activities accordingly. In this paper we explore and model the properties and temporal behavior of the content changes of three major news websites. The dynamics of the changes is characterized by large fluctuations and significant differences from day to day and from hour to hour. However, a certain degree of similarity in the overall patterns of each website exists. In particular, the application of multivariate analysis techniques allows us to identify groups of days with similar change patterns, thus allowing for the customiz
Original languageEnglish
Title of host publicationThe 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014)
Pages699-706
Number of pages8
DOIs
Publication statusPublished - 2014
EventThe 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014) - QATAR - Doha
Duration: 10 Nov 201413 Nov 2014

Conference

ConferenceThe 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014)
CityQATAR - Doha
Period10/11/1413/11/14

Keywords

  • DYNAMIC WEB SITES

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