Improving Web site content using a concept-based knowledge discovery process
Keywords: behavior, research, data, mining, satisfaction, techniques, browsing, customer, websites, Behavioral
Abstract
Nowadays many organizations and enterprises have a web site to help accomplish several business goals from sales to customer support. A very important activity for today's managers is how to improve the experience of visitors in their web site and make it more effective. Several techniques that use knowledge from visitors' browsing behavior have shown good results to perform such task. However, how to introduce semantics into web usage mining techniques is still a challenge. This work presents a way to obtain a semantic classification of visitors' sessions using a conceptual mining process. We performed experiments in a real web site. © 2006 IEEE.
Más información
Título de la Revista: | 1604-2004: SUPERNOVAE AS COSMOLOGICAL LIGHTHOUSES |
Editorial: | ASTRONOMICAL SOC PACIFIC |
Fecha de publicación: | 2007 |
Página de inicio: | 361 |
Página final: | 365 |
URL: | http://www.scopus.com/inward/record.url?eid=2-s2.0-42549170510&partnerID=q2rCbXpz |