z-logo
open-access-imgOpen Access
Unbiased Pairwise Approach toward Learning-to-Rank: An Empirical Study
Author(s) -
Ha Manh Tran
Publication year - 2022
Publication title -
rev journal on electronics and communications
Language(s) - Uncategorized
Resource type - Journals
ISSN - 1859-378X
DOI - 10.21553/rev-jec.281
Subject(s) - computer science , learning to rank , ranking (information retrieval) , rank (graph theory) , pairwise comparison , relevance (law) , construct (python library) , disadvantage , machine learning , benchmark (surveying) , artificial intelligence , information retrieval , noise (video) , obstacle , empirical research , mean reciprocal rank , data science , data mining , statistics , mathematics , geodesy , combinatorics , political science , law , image (mathematics) , programming language , geography

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom