TY - GEN
T1 - SNS trend-based TV program recommendation scheme
AU - Kim, Daeyong
AU - Kim, Daehoon
AU - Rho, Seungmin
AU - Hwang, Eenjun
PY - 2013
Y1 - 2013
N2 - Recently, as countries have switched over from analog broadcasting to digital broadcasting, various services for digital broadcasting have been introduced to enhance customer satisfaction. However, users still experience difficulties in selecting what they want to watch due to the large volume of TV contents. Often, social trends and TV programs are closely related; TV programs could be produced to deal with some hot issues and public interest could be formed for some TV program. Nowadays, such public interest can be detected as trends from popular SNS such as Twitter. In this paper, we propose a SNS trend-based TV program recommendation scheme. To do that, we first extract trend keywords from Twitter stream data and augment them semantically by referring to recommendation log and portal sites. Finally, we analyze EPGs to find matched TV programs to the trends. We implemented a prototype system to evaluate the effectiveness of our scheme.
AB - Recently, as countries have switched over from analog broadcasting to digital broadcasting, various services for digital broadcasting have been introduced to enhance customer satisfaction. However, users still experience difficulties in selecting what they want to watch due to the large volume of TV contents. Often, social trends and TV programs are closely related; TV programs could be produced to deal with some hot issues and public interest could be formed for some TV program. Nowadays, such public interest can be detected as trends from popular SNS such as Twitter. In this paper, we propose a SNS trend-based TV program recommendation scheme. To do that, we first extract trend keywords from Twitter stream data and augment them semantically by referring to recommendation log and portal sites. Finally, we analyze EPGs to find matched TV programs to the trends. We implemented a prototype system to evaluate the effectiveness of our scheme.
KW - EPG
KW - SNS analysis
KW - TV contents recommendation
KW - digital broadcasting
KW - trend keyword
UR - http://www.scopus.com/inward/record.url?scp=84888215872&partnerID=8YFLogxK
U2 - 10.1109/ICMEW.2013.6618240
DO - 10.1109/ICMEW.2013.6618240
M3 - Conference contribution
AN - SCOPUS:84888215872
SN - 9781479916047
T3 - Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
BT - Electronic Proceedings of the 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
T2 - 2013 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2013
Y2 - 15 July 2013 through 19 July 2013
ER -