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Hits 1 – 9 of 9
1
Overview of the CLEF eHealth Evaluation Lab 2019
Kelly, Liadh
;
Suominen, Hanna
;
Goeuriot, Lorraine
...
In: CLEF 2019: Experimental IR Meets Multilinguality, Multimodality, and Interaction pp 322-339 ; https://hal.archives-ouvertes.fr/hal-03156710 ; CLEF 2019: Experimental IR Meets Multilinguality, Multimodality, and Interaction pp 322-339, pp.322-339, 2019, ⟨10.1007/978-3-030-28577-7_26⟩ (2019)
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2
CLEF eHealth 2019 evaluation lab
Kelly, Liadh
;
Goeuriot, Lorraine
;
Suominen, Hanna
. - : Springer, 2019
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3
Overview of the CLEF eHealth Evaluation Lab 2019
Kelly, Liadh
;
Suominen, Hanna
;
Goeuriot, Lorraine
. - : Springer, 2019
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4
CLEF ehealth 2019 evaluation lab
Kelly, Liadh
;
Goeuriot, Lorraine
;
Suominen, Hanna
. - : Springer, 2019
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5
Overview of the CLEF eHealth Evaluation Lab 2019
Kelly, Liadh
;
Suominen, Hanna
;
Goeuriot, Lorraine
. - : Springer Verlag, 2019
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6
Overview of the CLEF ehealth evaluation lab 2018
Suominen, Hanna
;
Kelly, Liadh
;
Goeuriot, Lorraine
. - : Springer-Verlag, 2018
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7
Overview of the CLEF eHealth Evaluation Lab 2018
Suominen, Hanna
;
Kelly, Liadh
;
Goeuriot, Lorraine
. - : Springer, 2018
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8
Overview of the CLEF eHealth evaluation lab 2018
Suominen, Hanna
;
Kelly, Liadh
;
Goeuriot, Lorraine
. - : Springer International Publishing, 2018
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9
CLEF 2017 dynamic search evaluation lab overview
Kanoulas, Evangelos
;
Azzopardi, Leif
. - : Springer-Verlag, 2017
Abstract:
In this paper we provide an overview of the first edition of the CLEF Dynamic Search Lab. The CLEF Dynamic Search lab ran in the form of a workshop with the goal of approaching one key question: how can we evaluate dynamic search algorithms? Unlike static search algorithms, which essentially consider user request’s independently, and which do not adapt the ranking w.r.t the user’s sequence of interactions, dynamic search algorithms try to infer from the user’s intentions from their interactions and then adapt the ranking accordingly. Personalized session search, contextual search, and dialog systems often adopt such algorithms. This lab provides an opportunity for researchers to discuss the challenges faced when trying to measure and evaluate the performance of dynamic search algorithms, given the context of available corpora, simulations methods, and current evaluation metrics. To seed the discussion, a pilot task was run with the goal of producing search agents that could simulate the process of a user, interacting with a search system over the course of a search session. Herein, we describe the overall objectives of the CLEF 2017 Dynamic Search Lab, the resources created for the pilot task and the evaluation methodology adopted.
Keyword:
Electronic computers. Computer science
URL:
https://strathprints.strath.ac.uk/63353/
https://strathprints.strath.ac.uk/63353/1/Kanoulas_Azzopardi_LNCS_2017_CLEF_2017_dynamic_search_evaluation_lab.pdf
https://doi.org/10.1007/978-3-319-65813-1_31
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