A Novel Method Providing Multimedia Contents According to Preference Clones in Mobile Environment

Authors:
Sanggil Kang;Sungjoon Park
Affiliations:
Computer Science and Engineering, INHA University, 253 Younhyun-dong, Nam-gu, Incheon, South Korea;Department of Mobile Game, Kongju Communication and Arts College, Gongju, Chungnam 314-713, South Korea
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
Year:
2007

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Abstract

We introduce a novel method of automatic providing multimedia content in mobile environment. With using our method, the problem of the limitation of resource of mobile devices can be solved. In this paper, we introduce a novel method of recommendation of personalized contents according to preference clones using a collaborative filtering technique in mobile environment. We divide the user group to two sub-groups by analyzing the match of preferences of members in the sub-groups. The division process recursively applies to each sub-group and place the sub-groups in a binary decision tree (BDT). From the binary decision tree, we identify the preference clones of each target user by matching the target user's consumption behavior to that of each sub-group in the BDT with a sequential manner. We also implemented our system based on Java Micro Edition platform.