System for personalization based on web mining
Yao Guo-xiang · Jisuanji gongcheng yu sheji · 2006
With the information explosion in the internet,web personalization becomes more and more important on the web.An algorithm of clustering is introduced.Compared with conventional clustering algorithm,it can be performed in real time.A model is also described for real time personalization which can adapt itself to short-term changes in users' behaviors.Finally,experimental result show that the model is efficient and with high precision.