point-wise ranking Vs pair-wise ranking

http://stackoverflow.com/questions/17411986/what-is-the-difference-between-point-wise-and-pair-wise-ranking-in-machine-learn

Point wise ranking is analogous to regression. Each point has an associated rank score, and you want to predict that rank score. So your labeled data set will have a feature vector and associated rank score given a query
IE: {d1, r1} {d2, r2} {d3, r3} {d4, r4}
where r1 > r2 > r3 >r4
Pairwise ranking is analogous to classification. Each data point is associated with another data point, and the goal is to learn a classifier which will predict which of the two is "more" relevant to a given query.
IE: {d1 > d2} {d2 > d3} {d3 > d4}

-------------------------------------------------------------------------还需要进一步补充-----------------------------------------------------------------

http://blog.csdn.net/puqutogether/article/details/42120275

http://blog.csdn.net/puqutogether/article/details/42124129