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A methodology of personalized recommendation system on mobile device for digital television viewers

With the increasing of the number of digital television (TV) channels in Thailand, this becomes a problem of information overload for TV viewers. There are mass numbers of TV programs to watch but the information about these programs is poor. Therefore, this work presents a personalized recommendat...

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Main Authors: Sibunruang, Chumsak, Polpinij, Jantima
Format: Conference or Workshop Item
Language:English
Published: 2017
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://repo.uum.edu.my/22850/1/ICOCI%202017%20305-310.pdf
http://repo.uum.edu.my/22850/
http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap05e/PID207-305-310e.pdf
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id my.uum.repo.22850
record_format eprints
spelling my.uum.repo.228502017-07-27T01:29:15Z http://repo.uum.edu.my/22850/ A methodology of personalized recommendation system on mobile device for digital television viewers Sibunruang, Chumsak Polpinij, Jantima QA75 Electronic computers. Computer science With the increasing of the number of digital television (TV) channels in Thailand, this becomes a problem of information overload for TV viewers. There are mass numbers of TV programs to watch but the information about these programs is poor. Therefore, this work presents a personalized recommendation system on mobile device to recommend a TV program that matches viewer’s interests and/or needs.The main mechanism of the system is content-based similarity analysis (CBSA).Initially, the viewer defines favorite programs, and then the system utilize this list as query to find their annotations on the WWW. These annotations will be used to find other programs that are similar by using CBSA. Finally, all similar programs are grouped to the same class and stored as a dataset in a personal mobile device. For the usage, if a TV program matches the interest and specified time of viewer, the system on mobile device will notify the viewer individually. 2017-04-25 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/22850/1/ICOCI%202017%20305-310.pdf Sibunruang, Chumsak and Polpinij, Jantima (2017) A methodology of personalized recommendation system on mobile device for digital television viewers. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur. http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap05e/PID207-305-310e.pdf
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Sibunruang, Chumsak
Polpinij, Jantima
A methodology of personalized recommendation system on mobile device for digital television viewers
description With the increasing of the number of digital television (TV) channels in Thailand, this becomes a problem of information overload for TV viewers. There are mass numbers of TV programs to watch but the information about these programs is poor. Therefore, this work presents a personalized recommendation system on mobile device to recommend a TV program that matches viewer’s interests and/or needs.The main mechanism of the system is content-based similarity analysis (CBSA).Initially, the viewer defines favorite programs, and then the system utilize this list as query to find their annotations on the WWW. These annotations will be used to find other programs that are similar by using CBSA. Finally, all similar programs are grouped to the same class and stored as a dataset in a personal mobile device. For the usage, if a TV program matches the interest and specified time of viewer, the system on mobile device will notify the viewer individually.
format Conference or Workshop Item
author Sibunruang, Chumsak
Polpinij, Jantima
author_facet Sibunruang, Chumsak
Polpinij, Jantima
author_sort Sibunruang, Chumsak
title A methodology of personalized recommendation system on mobile device for digital television viewers
title_short A methodology of personalized recommendation system on mobile device for digital television viewers
title_full A methodology of personalized recommendation system on mobile device for digital television viewers
title_fullStr A methodology of personalized recommendation system on mobile device for digital television viewers
title_full_unstemmed A methodology of personalized recommendation system on mobile device for digital television viewers
title_sort methodology of personalized recommendation system on mobile device for digital television viewers
publishDate 2017
url http://repo.uum.edu.my/22850/1/ICOCI%202017%20305-310.pdf
http://repo.uum.edu.my/22850/
http://icoci.cms.net.my/PROCEEDINGS/2017/Pdf_Version_Chap05e/PID207-305-310e.pdf
_version_ 1644283634444664832
score 13.211869

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