Fast Feature Selection for Learning to Rank
Author:
Affiliation:
1. University of Pisa, Pisa, Italy
2. ISTI-CNR, Pisa, Italy
Funder
European Commission
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2970398.2970433
Reference18 articles.
1. A. Agresti. Analysis of Ordinal Categorical Data (Second ed.). 2010. A. Agresti. Analysis of Ordinal Categorical Data (Second ed.). 2010.
2. Feature Selection for Ordinal Text Classification
3. Quality versus efficiency in document scoring with learning-to-rank models
4. Feature selection for ranking
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