IRnator: A Framework for Discovering Users Needs from Sets of Suggestions - Sorbonne Université
Conference Papers Year : 2022

IRnator: A Framework for Discovering Users Needs from Sets of Suggestions

Agnès Mustar
  • Function : Author
Sylvain Lamprier
Institut des Systèmes Intelligents et de Robotique
Benjamin Piwowarski
  • Function : Author

Domains

Artificial Intelligence [cs.AI]

Sylvain Lamprier  : Connect in order to contact the contributor

https://hal.sorbonne-universite.fr/hal-03923274

Submitted on : Wednesday, January 4, 2023-5:23:40 PM

Last modification on : Saturday, October 7, 2023-9:36:23 PM

No file

Dates and versions

hal-03923274 , version 1 (04-01-2023)

Identifiers

Cite

Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski. IRnator: A Framework for Discovering Users Needs from Sets of Suggestions. ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Aug 2022, Madrid Spain, France. pp.138-143, ⟨10.1145/3539813.3545152⟩. ⟨hal-03923274⟩

Export

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

CNRS ISIR SORBONNE-UNIVERSITE SU-SCIENCES ISIR_MLIA
30 View
0 Download

Altmetric

Share

More