A Survey on Big Data in the Media and Entertainment Industry
Abstract
Big Data has affected all industries, including the media dan entertainment industries. The popularity of using mobile devices and the internet has changed the way people enjoy entertainment. This popularity also generates data streams from many sources with various data formats and large volumes, known as big data. Carrying out big data analysis can help the media industry and entertainment achieve its goals, like providing content that makes users happy, provides user experience, and increases profits. Many researchers have conducted research on the use of big data in the media and entertainment industries. The purpose of this paper is to provide an overview of the problems, challenges and various technologies related to Big Data in the media and entertainment industries.
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References
M. L. Stone, “Big Data for Media,†no. November, 2014.
M. Suri and S. Narayan Singh, “The Role of Big Data in the Media andEntertainment Industry.â€
J. M. Cavanillas, • Edward Curry, and W. Wahlster, “New Horizons for a Data-Driven Economy A Roadmap for Usage and Exploitation of Big Data in Europe.â€
Oracle, “Improving Logistics & Transportation Performance with Big Data Architect ’ s Guide and Reference Architecture Introduction,†Oracle White Pap., no. February, p. 24, 2015.
D. Wang, S. Chen, Z. Cui, H. Ding, and Z. Xie, “The Visualized Analysis System for Big Data of Movies’ Box Office in China,†2019, pp. 90–94.
H. Shaorong, X. Zhifeng, and H. Jianbo, “Visual Analysis of Big Data Based on Movies Released in China,†2019, pp. 80–85.
C. H. Liao, Y. H. Lei, K. Y. Liou, J. S. Lin, and H. F. Yeh, “Using Big Data for Profiling Heavy Users in Top Video Apps,†in Proceedings - 2015 IEEE International Congress on Big Data, BigData Congress 2015, 2015, pp. 381–385.
M. Takano et al., Analysis of the Changes in Listening Trends of a Music Streaming Service. 2017.
P. Zhou, Y. Zhou, D. Wu, and H. Jin, “Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks,†IEEE Trans. Multimed., vol. 18, no. 6, pp. 1217–1229, Jun. 2016.
Z. Xing, M. Parandehgheibi, F. Xiao, N. Kulkarni, and C. Pouliot, “Content-based recommendation for podcast audio-items using natural language processing techniques,†Proc. - 2016 IEEE Int. Conf. Big Data, Big Data 2016, pp. 2378–2383, 2016.
N. McLean and J. Davis, “Utilising semantically rich big data to enhance book recommendation engines,†Proc. - 18th IEEE Int. Conf. High Perform. Comput. Commun. 14th IEEE Int. Conf. Smart City 2nd IEEE Int. Conf. Data Sci. Syst. HPCC/SmartCity/DSS 2016, pp. 1434–1441, 2017.
S. Shang, M. Shi, W. Shang, and Z. Hong, “A micro-video recommendation system based on big data,†2016 IEEE/ACIS 15th Int. Conf. Comput. Inf. Sci. ICIS 2016 - Proc., pp. 1–5, 2016.
S. Halder, M. H. Seddiqui, and Y. K. Lee, “An entertainment recommendation system using the dynamics of user behavior over time,†2014 17th Int. Conf. Comput. Inf. Technol. ICCIT 2014, no. August 2015, pp. 41–46, 2003.
C. Zhu, G. Cheng, and K. Wang, “Big Data Analytics for Program Popularity Prediction in Broadcast TV Industries,†IEEE Access, vol. 5, pp. 24593–24601, Oct. 2017.
H. Hu, Y. Wen, Y. Gao, T. S. Chua, and X. Li, “Toward an SDN-enabled big data platform for social TV analytics,†IEEE Netw., vol. 29, no. 5, pp. 43–49, 2015.
W. Bi, M. Cai, M. Liu, and G. Li, “A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn,†IEEE Trans. Ind. Informatics, vol. 12, no. 3, pp. 1270–1281, 2016.
E. G. Castro and M. S. G. Tsuzuki, “Churn Prediction in Online Games Using Players ’ Login Records : A Frequency Analysis Approach,†IEEE Trans. Comput. Intell. AI Games, vol. 7, no. 3, pp. 255–265, 2015.
S. Philips, “5 Ways Big Data Plays a Major Role in the Media and Entertainment Industry,†2017. [Online]. Available: https://www.analyticsindiamag.com/5-ways-big-data-plays-major-role-media-entertainment-industry/. [Accessed: 06-Apr-2019].
Youtube, “YouTube by the numbers.†[Online]. Available: https://www.youtube.com/yt/about/press/. [Accessed: 06-Apr-2019].
Roshan, “Deciphering the unstoppable Netflix and the role of Big Data,†2018. [Online]. Available: https://www.muvi.com/blogs/deciphering-the-unstoppable-netflix-and-the-role-of-big-data.html. [Accessed: 06-Apr-2019].
B. Marr, “The Amazing Ways Spotify Uses Big Data, AI And Machine Learning To Drive Business Success,†2017. [Online]. Available: https://www.forbes.com/sites/bernardmarr/2017/10/30/the-amazing-ways-spotify-uses-big-data-ai-and-machine-learning-to-drive-business-success/#36cc238b4bd2. [Accessed: 06-Apr-2019].
