Multimedia content recommendation engine with automatic inference of user preferences

被引：0
|
作者：
Ferman, AM [1 ]
van Beek, P [1 ]
Errico, JH [1 ]
Sezan, MI [1 ]
机构：
[1] Sharp Lab Amer Inc, Camas, WA 98607 USA
来源：
2003 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL 3, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We propose novel algorithms for automatically determining a user's profile from his/her content usage history (profiling agent), and automatically filtering content according to the user's profile (filtering agent). A fuzzy inference system is used to construct and periodically update the preferences of a user based on the user's interactions with various types of content over an observation period. The proposed algorithms are designed to support an MPEG-7 or TV-Anytime-compliant description framework, although they can also be utilized in any non-standard environment that provides structured descriptions of multimedia content.
引用
收藏
页码：49 / 52
页数：4
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