Incorporating query constraints for autoencoder enhanced ranking
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.03.068
Abstract: Abstract Learning to rank has been widely used in information retrieval tasks to construct ranking models for document retrieval. Existing learning to rank methods adopt supervised machine learning methods as core techniques and classical retrieval… read more here.
Keywords: retrieval; document; query constraints; learning rank ... See more keywords