Learning to rank by using multivariate adaptive regression splines and conic multivariate adaptive regression splines

Learning to rank is a supervised learning problem that aims to construct a ranking model for the given data. The most common application of learning to rank is to rank a set of documents against a query. In this work, we focus on point‐wise learning to rank, where the model learns the ranking values...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Computational intelligence 2021-02, Vol.37 (1), p.371-408
Hauptverfasser:	Altinok, Gulsah, Karagoz, Pinar, Batmaz, Inci
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks conic multivariate adaptive regression splines Learning theory multivariate adaptive regression spline Multivariate analysis random forest Ranking Regression analysis Supervised learning Support vector machines web search query
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!