A Practical Divide-and-Conquer Approach for Preference-Based Learning to Rank
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 102 === In preference-based learning to rank (LTR), rather than training a score- based prediction model, a binary prediction model (with probabilistic output) is trained over pairs of instances as a preference function. The ranking is then produced using the pairwise...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/50837661414352563622 |