Website navigation systems based on user accessing sequences clustering
Hong Ling · Systems Engineering - Theory & Practice · 2010
Websites have become the key resources of all sorts of information.But,with the scales growing larger and structures becoming more complicated for websites today,it is even harder for users to locate relevant information.This essay proposed a general webpage recommendation system based on user access patterns.The offline-online separated architecture,coupling with the pre-clustering of the visiting sequences,make the system very efficient in recommendation.Experimental results on an Internet website illustrate that the proposed system have satisfied system performance with minimum amount of information demands.