@conference{Tukuljac2014,
title = {A solution of a DTV recommendation engine based on broadband and broadcast data},
author = {Helena Peić Tukuljac and Dejan Nađ and Goran Stupar and Milan Z. Bjelica},
doi = {10.1109/TELFOR.2014.7034548},
isbn = {978-1-4799-6191-7},
year = {2014},
date = {2014-11-25},
booktitle = {Telecommunications Forum Telfor (TELFOR), 2014 22nd},
pages = {893-896},
publisher = {IEEE},
address = {Belgrade, Serbia},
abstract = {Age of digital television has brought many changes to television user's experience. On one side there is comfort because of great amount of data available in the stream and possibility of accessing the Internet over TV. On the other side great amount of data brings significant discomfort, if the data is not organized well and user has to browse through it for a long time. This paper describes a solution for recommending similar data originating from digital television stream or from the Internet. Aim of the presented solution is personalization of television content and related data from the Internet and also selection of most proper results. Main approaches are described and the solution is compared to some existing solutions.},
howpublished = {M33},
keywords = {digital TV, ieeexplore, recommendation, user experience},
pubstate = {published},
tppubtype = {conference}
}
Age of digital television has brought many changes to television user's experience. On one side there is comfort because of great amount of data available in the stream and possibility of accessing the Internet over TV. On the other side great amount of data brings significant discomfort, if the data is not organized well and user has to browse through it for a long time. This paper describes a solution for recommending similar data originating from digital television stream or from the Internet. Aim of the presented solution is personalization of television content and related data from the Internet and also selection of most proper results. Main approaches are described and the solution is compared to some existing solutions.
@patent{Papp2014b,
title = {Method and system for recommending and displaying multimedia content},
author = {Istvan Papp and Milan Z. Bjelica and Nenad Jovanović and Krsto Lazić},
url = {https://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20141031&DB=&locale=en_EP&CC=RS&NR=20140229A1&KC=A1&ND=4},
year = {2014},
date = {2014-02-28},
number = {P-2014/0229},
abstract = {Method and system for recommending and displaying multimedia content from multiple sources for a new generation of a (206) preferred content based on user profile, source and duration of the multimedia content. User profile is generated by monitoring history viewing of certain programs and multimedia content. By user request (300) list (206) of recommended multimedia content are generated where the sum of the duration of the recommended content corresponds to the time when the user intends to watch the recommended content and the sum of the priorities of multimedia content that can recommend a maximum.},
howpublished = {M94},
note = {Pending},
keywords = {digital TV, recommendation},
pubstate = {published},
tppubtype = {patent}
}
Method and system for recommending and displaying multimedia content from multiple sources for a new generation of a (206) preferred content based on user profile, source and duration of the multimedia content. User profile is generated by monitoring history viewing of certain programs and multimedia content. By user request (300) list (206) of recommended multimedia content are generated where the sum of the duration of the recommended content corresponds to the time when the user intends to watch the recommended content and the sum of the priorities of multimedia content that can recommend a maximum.