IRnator: A Framework for Discovering Users Needs from Sets of Suggestions - Archive ouverte HAL Access content directly
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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

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Computer Science [cs] 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 : Wednesday, February 8, 2023-5:11:27 PM

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

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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⟩

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