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- W3102882112 abstract "The LETOR datasets consist of data extracted from traditional IR test corpora. For each of a number of test topics, a set of documents has been extracted, in the form of features of each document-query pair, for use by a ranker. An examination of the ways in which documents were selected for each topic shows that the selection has (for each of the three corpora) a particular bias or skewness. This has some unexpected eff ects which may considerably in influence any learning-to-rank exercise conducted on these datasets. The problems may be resolvable by modifying the datasets." @default.
- W3102882112 created "2020-11-23" @default.
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- W3102882112 date "2008-08-08" @default.
- W3102882112 modified "2023-09-26" @default.
- W3102882112 title "Selection Bias in the LETOR Datasets" @default.
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