Abstract: The rapid development of Internet and multimedia technology plays a catalytic role in the emerging requirement
for diversiform and personalized information service.The next-generation museum is to become a place that is not merely
for the collection，protection and study of historical relics.It must also cater for the personalized preferences of different visitors
in order to fully unleash its vital power in the exhibition and spread of culture.Currently available various service personalization
technologies bring hope and challenge to the construction of intelligent museum system.Increasing amount and
variety of information provides visitors with more choices，but on the other hand also heavens the burden for people to locate
the information that is really interesting.A personalized，intelligent recommendation framework and related algorithms are
proposed for smart museum applications.Within this framework，the personal visit preference of an individual is learned by
collecting and analyzing his or her history visit information.Personalized visit recommendation is adapted and provided to visitors
by considering their different backgrounds，visit preferences and the history public evaluation of the exhibits.