Publicações

An Empirical Study of the Impact of Field Features in Learning-To-Rank Method

AuthID
P-00W-BD9

Author(s)

Yang, H

Gonçalves, T

Editor(es)

Camacho,D;Tino,P;Allmendinger,R;Yin,H;Tallon Ballesteros,AJ;Tang,K;Cho,S;Novais,P;Nascimento,S

Tipo de Documento

Proceedings Paper

Year published

2021

Publicado

in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743

Volume: 13113 LNCS, Páginas: 176-187

Conference

22Nd International Conference on Intelligent Data Engineering and Automated Learning, Ideal 2021, Date: 25 November 2021 through 27 November 2021

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Metadata
Fontes

Publication Identifiers

DOI: 10.1007/978-3-030-91608-4_18

SCOPUS: 2-s2.0-85126454434

Source Identifiers

ISSN: 0302-9743

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An Empirical Study of the Impact of Field Features in Learning-To-Rank Method

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