Learning to rank for information retrieval and natural language processing, second edition
Auteur :
Li, Hang
Éditeur :
Springer International Publishing AG
ISBN :
9783031010279
Date de publication :
5 nov. 2014
Dimensions :
23,5 x 19,1 cm
Langue :
Anglais
Pays d'origine :
Suisse
Learning to rank refers to machine learning techniques for training a model in a ranking task. Table of Contents: Learning to Rank / Learning for Ranking Creation / Learning for Ranking Aggregation / Methods of Learning to Rank / Applications of Learning to Rank / Theory of Learning to Rank / Ongoing and Future Work