Title :
An optimal recommendation system for content personalization management [DTV applications]
Author :
Shi, Xiaowei ; Yu, Zhiwen
Author_Institution :
Philips Res. Labs., Shanghai, China
Abstract :
This work develops a new optimal program recommendation system. An IFQC (interval feature-query combination) structure is proposed for user preference modeling. Based on explicit (instant query, manual modification) and implicit (viewing behavior) feedback information, the recommendation system can learn the user´s preferences adaptively and intelligently.
Keywords :
digital television; feedback; information filtering; query formulation; user interfaces; DTV user preference profile; IFQC structure; content personalization management; explicit feedback information; implicit feedback information; information filtering; instant query; interface agent; interval feature-query combination structure; optimal recommendation system; user preference modeling; viewing behavior; virtual personalized channel; Content management; Databases; Digital TV; Feedback; Information filtering; Information filters; Intelligent structures; Laboratories; Matched filters; System performance;
Conference_Titel :
Consumer Electronics, 2005. ICCE. 2005 Digest of Technical Papers. International Conference on
Print_ISBN :
0-7803-8838-0
DOI :
10.1109/ICCE.2005.1429747
