With the development and diffusion of compact and portable mobile devices,
users can use multimedia content such as music and movie on personal mobile
devices, anytime and anywhere. However, even with the rapid development of
mobile device technology, it is still not easy to search multimedia content
or manage large volume of content in a mobile device with limited resources.
To resolve these problems, an approach for recommending content on the
server-side is one of the popular solutions. However, the recommendation in a
server also leads to some problems like the scalability for a lot of users
and the management of personal information. Therefore, this paper defines a
personal content manager which acts between content providers (server) and
mobile devices and proposes a method for recommending multimedia content in
the personal content manager. For the recommendation based on user's personal
characteristic and preference, this paper adopts and applies the DISC model
which is verified in psychology field for classifying user's behavior
pattern. The proposed recommendation method also includes an algorithm for
reflecting dynamic environmental context. Through the implements and
evaluation of a prototype system, this paper shows that the proposed method
has acceptable performance for multimedia content recommendation.