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: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/50837661414352563622 |