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
Tessera, D., Calzarossa, M. C., Multivariate analysis of Web content changes, Contributed paper, in The 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014), (QATAR - Doha, 10-13 November 2014), IEEE, Piscateway 2014: 699-706. 10.1109/AICCSA.2014.7073268 [http://hdl.handle.net/10807/62958]
Multivariate analysis of Web content changes
Tessera, Daniele;
2014
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 customizI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.