[D] Is it possible to do supervised learning when the labels are relative?
I’m doing job matching and I have a dataset consisting of info like “for job A, candidate #1 is better than candidate #2”, and of course some features for the job and for the candidates.
I would like to train a model to output a score of how fit is a candidate for a job. So far I haven’t been able to come up with a loss function, but my intuition says that there should be enough information to build one, provided any two candidates from the dataset are linked though job applications and other candidates (which they are).
Am I wrong? Any ideas?