DocumentCode
2968411
Title
Collaborative Personalised TV Programming
Author
Andersen, Jesper Steen
Author_Institution
Tofta Teld, Kobenhavn
fYear
2006
fDate
13-15 Dec. 2006
Firstpage
201
Lastpage
205
Abstract
We propose a set-top box design for giving the owner access to a number of TV channels adapted specifically to his/her interests. The channels are composed based on reviews distributed in RSS format. The reviews can originate from other users of similar devices as well as from other sources. The device trains an artificial neural network (Hertz et al., 1991) to prioritise the available programmes based on the available reviews and the feedback from the user. The proposal attempts to minimise the need for user interaction, as well as the need for centralised, critical services
Keywords
neural nets; telecommunication computing; television; RSS format; artificial neural network; collaborative personalised TV programming; set-top box design; Artificial neural networks; Collaboration; Digital audio broadcasting; Feedback; IEEE news; Internet; Jacobian matrices; Neurofeedback; Search engines; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
Automated Production of Cross Media Content for Multi-Channel Distribution, 2006. AXMEDIS '06. Second International Conference on
Conference_Location
Leeds
Print_ISBN
0-7695-2625-X
Type
conf
DOI
10.1109/AXMEDIS.2006.16
Filename
4041351
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