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Risk-sensitive optimization of neural deep learning ranking models with applications in ad-hoc retrieval and recommender systems
Pedro Henrique Silva Rodrigues
,
Daniel Xavier de Sousa
,
Celso França
,
Gestefane Rabbi
,
Thierson Couto Rosa
,
Marcos André Gonçalves
Published: 01 Jan 2025, Last Modified: 16 May 2025
Inf. Process. Manag. 2025
Everyone
Revisions
BibTeX
CC BY-SA 4.0
Abstract:
Highlights•Continuous risk-sensitive optimization.•Self-contained risk-sensitiveness.•Risk-sensitive deep neural ranking.
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