A predicting model of TV audience rating based on the Facebook

Yu Hsuan Cheng, Chen Ming Wu, Tsun Ku, Gwo Dong Chen

研究成果: 書貢獻/報告類型會議論文篇章同行評審

13 引文 斯高帕斯(Scopus)

摘要

TV audience rating is an important indicator regarding the popularity of programs and it is also a factor to influence the revenue of broadcast stations via advertisements. Presently, the only way for assessing audience rating is the Nielsen TV rating, which depends on a small number of randomly selected representative groups, because of practical considerations such as cost and survey time. The way to obtain audience rating is using 'People-meter' which is a device installed in user's house and regularly records the rating surveys. However, we are not able to know the audience rating immediately since sometimes we have to make a marketing decision and lack of indicator. Currently, the present media environments are drastically changing our media consumption patterns. We can watch TV programs on Youtube regardless location and timing. And Nielsen TV audience rating does not take the social networking site into account. In this paper, we develop a model for predicting TV audience rating. We accumulate the broadcasted TV programs' word-of-mouse on Facebook and apply the Back-propagation Network to predict the latest program audience rating. We also present the audience rating trend analysis on demo system which is used to describe the relation between predictive audience rating and Nielsen TV rating.

原文???core.languages.en_GB???
主出版物標題Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013
頁面1034-1037
頁數4
DOIs
出版狀態已出版 - 2013
事件2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013 - Washington, DC, United States
持續時間: 8 9月 201314 9月 2013

出版系列

名字Proceedings - SocialCom/PASSAT/BigData/EconCom/BioMedCom 2013

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???event.eventtypes.event.conference???2013 ASE/IEEE Int. Conf. on Social Computing, SocialCom 2013, the 2013 ASE/IEEE Int. Conf. on Big Data, BigData 2013, the 2013 Int. Conf. on Economic Computing, EconCom 2013, the 2013 PASSAT 2013, and the 2013 ASE/IEEE Int. Conf. on BioMedCom 2013
國家/地區United States
城市Washington, DC
期間8/09/1314/09/13

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