Web page recommendation model based on analyzing user access pattern
Zhisong Wang · Journal of Yanshan University · 2007
In this paper, a new web recommendation model is proposed, which is based on analyzing user acess pattern. The page clusters can be created online by means of a incremental graph partition algorithm, and suggestions can be generated dynamically to page in this model. The model is implemented as a module of the Apache web server, and it is able to manage large web sites that is updated frequently. Experimental results show that this model has better general performance.