Algorithms for random ranking generation
Given a ranking of size n , most of the existing ranking models have relatively small numbers of parameters (around n , or less). Having a small number of parameters do help facilitate the application of a ranking model. But on the other hand, it restricts the capacity for the model to describe the...
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Format: | Others |
Published: |
2000
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Online Access: | http://spectrum.library.concordia.ca/1221/1/MQ54338.pdf Xu, Liqun <http://spectrum.library.concordia.ca/view/creators/Xu=3ALiqun=3A=3A.html> (2000) Algorithms for random ranking generation. Other thesis, Concordia University. |