PERSONALIZED VIDEO RECOMMENDATION BASED ON CROSS-PLATFORM USER MODELING

被引：0
作者：
Deng, Zhengyu [1 ]
Sang, Jitao [1 ]
Xu, Changsheng [1 ]
机构：
[1] Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME 2013) | 2013年
关键词：
Personalized video recommendation; cross-platform user modeling;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Online propagation of videos has surged up to an unparalleled level. Most personalized video recommendation methods are based on single-platform user modeling, which suffer from data sparsity and cold-start issues. In this paper, we introduce cross-platform user modeling as a solution by smartly aggregating user information from different platfonns. Unlike traditional recommendation methods where sufficient user information is assumed available in the target platform, this proposed method works well when there is little knowledge about users' interests in the target platform. While considering the difference of user behaviors in different platfonns, on one hand, we enrich user profile in the target platform with related information in the auxiliary platform. On the other hand, we transfer the collaborative relationship defined in behaviors from the auxiliary platform to the target platform. Carefully designed experiments have demonstrated the effectiveness of the proposed method.
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页数：6
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