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 originale | English |
|---|---|
| Titolo della pubblicazione ospite | The 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014) |
| Pagine | 699-706 |
| Numero di pagine | 8 |
| DOI | |
| Stato di pubblicazione | Pubblicato - 2014 |
| Evento | The 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014) - QATAR - Doha Durata: 10 nov 2014 → 13 nov 2014 |
Convegno
| Convegno | The 11th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA'2014) |
|---|---|
| Città | QATAR - Doha |
| Periodo | 10/11/14 → 13/11/14 |
Keywords
- DYNAMIC WEB SITES