Multivariate analysis of Web content changes

Daniele Tessera, Maria Carla Calzarossa

Risultato della ricerca: Contributo in libroContributo a convegno

4 Citazioni (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
Lingua originaleEnglish
Titolo della pubblicazione ospiteThe 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014)
Pagine699-706
Numero di pagine8
Stato di pubblicazionePubblicato - 2014
EventoThe 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014) - QATAR - Doha
Durata: 10 nov 201413 nov 2014

Convegno

ConvegnoThe 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014)
CittàQATAR - Doha
Periodo10/11/1413/11/14

Keywords

  • DYNAMIC WEB SITES

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