Title
An automatic personal TV scheduler based on HMM for intelligent broadcasting services
Abstract
In the future television broadcasting a flood of information from various sources will not always be welcomed by everyone. The need of accessing specific information as required is becoming a necessity. We are interested to make the life of television consumer easier by providing an intelligent television set which can adaptively proposed certain shows to the viewer based on the user historical consumed shows. The method proposed is by utilizing Hidden Markov Model (HMM) to model the user preference of kind of genres the viewer will watch based on recorded genres for several weeks time. The result is satisfactory for users which have middle to high consistent preference of television consumption.
Year
DOI
Venue
2006
10.1007/11949534_113
PSIVT
Keywords
Field
DocType
user preference,recorded genre,intelligent broadcasting service,high consistent preference,automatic personal tv scheduler,intelligent television set,certain shows,television consumer,utilizing hidden markov model,future television,specific information,television consumption,hidden markov model
Scheduling (computing),Computer science,Artificial intelligence,Personalization,Broadcasting,Computer vision,World Wide Web,Markov model,Television set,Specific-information,Internet television,Hidden Markov model,Multimedia
Conference
Volume
ISSN
ISBN
4319
0302-9743
3-540-68297-X
Citations 
PageRank 
References 
1
0.35
1
Authors
4
Name
Order
Citations
PageRank
Agus Syawal Yudhistira110.35
Munchurl Kim285868.28
Hieyong Kim310.35
Hankyu Lee4233.93