I have to solve a ranking ML issue. To start with, I have successfully applied the pointwise ranking approach.
Now, I’m playing around with pairwise ranking algorithms. I’ve created the pairwise probabilities (i.e. probability of item i being above item j) but I’m not sure how I can transform this to rankings.
For the historical data (let’s assume these are queries), I have their pairwise probs AND the actual ranking (the ideal one). I want a solution that will provide a ranking for a new query as well (i.e. the ideal ranking is what I’m looking for here).
Any python package that has, at least partially, the functionality I’m looking for?