Behavior Based Adaptive Navigation Support
نویسندگان
چکیده
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.
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تاریخ انتشار 2010