Database Reference
In-Depth Information
Predictive modeling and analytics
A third area where machine learning can be applied is in predictive analytics. This is a very
broad term, and in some ways, it encompasses recommendations, personalization, and tar-
geting too. In this context, since recommendations and segmentation are somewhat distinct,
we use the term
predictive modeling
to refer to other models that seek to make predic-
tions. An example of this can be a model to predict the potential viewing activity and rev-
enue of new titles before any data is available on how popular the title might be.
MovieStream can use past activity and revenue data, together with content attributes, to
create a
regression model
that can be used to make predictions for brand new titles.
As another example, we can use a
classification model
to automatically assign tags,
keywords, or categories to new titles for which we only have partial data.
