In a powerful use case for explaining the use of Big Data in recommendation engines, we con-
sider a video recommendation engine architecture for a movies-on-demand and cable TV service
provider.
The objective of this use case is to derive insights into individual subscriber behaviours, such
as on-demand movies requested, cable TV channels watched, programs that are scheduled for
recording in set-top boxes, and media catalogues, and then making recommendations to the
subscribers of the service based on these insights. The idea is to leverage the huge volume of data
to make predictions and recommendations around the trending ...
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