DocumentCode :
3137047
Title :
An adaptive preference learning method for future personalized TV
Author :
Shi, Xiaowei ; Hua, Jin
Author_Institution :
Philips East Asian Res. Center, Shanghai, China
fYear :
2005
fDate :
April 18-21, 2005
Firstpage :
260
Lastpage :
264
Keywords :
adaptive systems; learning (artificial intelligence); television; user modelling; KWL structure; TV-Anytime metadata; adaptive preference learning; explicit feedback information; implicit feedback information; personalized TV; user preference modeling; user profile; Costs; Digital TV; Feedback; Filtering; Intelligent systems; Learning systems; Scheduling; Spatial databases; US Department of Transportation; USA Councils;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integration of Knowledge Intensive Multi-Agent Systems, 2005. International Conference on
Print_ISBN :
0-7803-9013-X
Type :
conf
DOI :
10.1109/KIMAS.2005.1427091
Filename :
1427091
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3137047
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