pros:
classification methodologies can be directly applied
training data are easy to get
cons:
minimize error in classification rather than ranking
pairwise computation cost
classification methodologies can be directly applied
training data are easy to get
cons:
minimize error in classification rather than ranking
pairwise computation cost
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