Design of a literature personalized recommendation system based on web data mining
Yuwen Liu · Journal of Shandong University · 2007
A web personalized information recommendation service based on data mining has become an important application technology.By mining algorithm with FP-tree's association rule,the user literature reading information was analyzed to find the user reading habits and interests,and then personalized literature was recommended for users,which can enhance the website attraction to users.