2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06) Personalization of E-newsletters Based on Web Log Analysis and Clustering Hong Kong, China December 18-December 22 ISBN: 0-7695-2747-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WI.2006.130
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.
Citation:
Carla Carvalho, Alipio M. Jorge, Carlos Soares, "Personalization of E-newsletters Based on Web Log Analysis and Clustering," wi, pp.724-727, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||