Behavior Based Adaptive Navigation Support
Michal Holub, Mária Bieliková · 2010
Web portals contain large amount of information. Users could really benefit from it if personalized presentation is used. For this to be accomplished the website needs to “know ” its users. When surfing the Web users leave digital footprints in the form of navigational paths and actions taken. We present a method for adaptive navigation support and link recommendation. The method is based on an analysis of the user’s navigational patterns and behavior on the web pages while browsing through a web portal. We extract interesting information from a web portal and then recommend it. Finally, we provide our experience with a recommender system deployed on our faculty’s website, which recommends events by means of personalized calendar.