Personalization of E-newsletters Based on Web Log Analysis and Clustering

Personalization of E-newsletters Based on Web Log Analysis and Clustering

We present a methodology for the personalization of e-newsletters based on the analysis of user access logs. To approach the problem we have used clustering on the set of users, described by their Web access patterns. Our work is evaluated using a case study with real data from e-newsletters sent by...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Carvalho, C., Jorge, A.M., Soares, C.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Data mining
HTML
Information filtering
Information filters
Information management
Information resources
Portals
Postal services
Web mining
Web sites
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:We present a methodology for the personalization of e-newsletters based on the analysis of user access logs. To approach the problem we have used clustering on the set of users, described by their Web access patterns. Our work is evaluated using a case study with real data from e-newsletters sent by mail to users of a Web portal, and can be adapted to similar situations. Positive results were obtained, indicating that the methodology is able to automatically select contents for a personalized e-newsletter
DOI:10.1109/WI.2006.130