What does "freedom" mean in the RankNet paper?
In the RankNet (Learning to Rank using Gradient Descent) paper, paragraph 3.1, it said
given the consistency requirements, how much freedom is there to choose the pairwise probabilities?
What does it mean?
Topic learning-to-rank ranking
Category Data Science