Leveraging Cloud-Based Predictive Analytics to Strengthen Audience Engagement

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Publisher: SMPTE — White Plains, NY, USA
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Mot. Imag. J
Volume: 125, No. 8, pp. 60–68
Abstract: To grow their business and increase their audience, content distributors must understand the viewing habits and interests of content consumers. This typically requires solving tough computational problems, such as rapidly processing vast amounts of raw data from web sites, social media, devices, catalogs, and back-channel sources. Fortunately, today’s content distributors can take advantage of the scalability, cost effectiveness, and pay-as-you-go model of the cloud to address these challenges. In this paper, we show content distributors how to use cloud technologies to build predictive analytic solutions. We examine architectural patterns for optimizing media delivery, and we discuss how to assess the overall consumer experience based on representative data sources. Finally, we present concrete implementations of cloud-based machine learning services and show how to use the services to profile audience demand, to cue content recommendations, and to prioritize the delivery of related media.
Publication Date: 2016-10-01
DOI: 10.5594/JMI.2016.2602121
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/JMI.2016.2602121
Author(s): U. Shakeel
M. Limcaco
Keyword(s): Recommendation Engines, Personalization, Personalized/Dynamic Ad Insertions, Multi CDN, CDN Switching, Audience Behavior, Audience Segmentation, Audience Churn Detection, Machine Learning, Realtime Data Analytics, Big Data On User Experience, Cloud Based Big Data For Audience Engagement, Audience Engagement, Cloud Based Recommendations
Copyright: © 2016 SMPTE

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U. Shakeel and M. Limcaco; Leveraging Cloud-Based Predictive Analytics to Strengthen Audience Engagement, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016. Available at https://doi.org/10.5594/JMI.2016.2602121

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U. Shakeel and M. Limcaco; Leveraging Cloud-Based Predictive Analytics to Strengthen Audience Engagement, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016. Available at https://doi.org/10.5594/JMI.2016.2602121

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<span class="citation">U. Shakeel and M. Limcaco; <cite>Leveraging Cloud-Based Predictive Analytics to Strengthen Audience Engagement</cite>, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016. Available at <a href="https://doi.org/10.5594/JMI.2016.2602121" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2016.2602121</a></span>

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U. Shakeel and M. Limcaco; Leveraging Cloud-Based Predictive Analytics to Strengthen Audience Engagement, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016
doi: 10.5594/JMI.2016.2602121
url: https://doi.org/10.5594/JMI.2016.2602121

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<li>
U. Shakeel and M. Limcaco; <cite id="bib-10-5594-jmi-2016-2602121">Leveraging Cloud-Based Predictive Analytics to Strengthen Audience Engagement</cite>, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016
<span class="doi">10.5594/JMI.2016.2602121</span>
</li>