Research of adaptation technologies for web interface

This paper proposed a new idea based on adaptation technologies for the Web Interface. Web usage mining is used as a mission for mining personalized information from users. We try to attack the problem from both function objects in the interface and the interface region. It is helpful to design algorithms for finding frequent function objects pairs and a subregional set, which is based on association rules and adequate for this problem. Combining with adaptation technologies, we propose an adaptive algorithm for Web Interface to realize this new idea. Being tested repeatedly by several users, this proposal has primarily realized the Web Interface Adaptation.