Information Technology Reference
In-Depth Information
14.7 Exercises
14.1 Enumerate other potential applications of learning to rank in the field of com-
puter science.
14.2 Specify a field where learning-to-rank technologies can be potentially used,
and go through the entire process of applying learning-to-rank technologies
to advance its state of the art. Work items include a mathematical formulation
of the problem, feature extraction, loss function design, optimization method
implementation, etc.
14.3 Feature extraction is a key step in using learning-to-rank technologies in an
application, since it is usually the features that capture the unique characteris-
tics of the application. Use the examples given in the chapter to discuss how
the features extracted in each work reflect the characteristics of their target
application.
References
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