Personalized Services Research Based on Web Data Mining Technology
Xiaorong Cheng, Hong Liu · 2009
This paper use the source of Web log data and through Apriori all algorithm among sequential pattern mining to identify the user pattern in the data pre-processing stage and based on pattern to cluster users' path pattern and make the similarity users cluster one group in order to reduce pattern. Through testing, the method has been proven to be effective for users in personalized service.