The aim of LEARNER@ICTIR2017 is to investigate new solutions for LtR. In details, we identify some research areas related to LtR which are of actual interest and which have not been fully explored yet. We solicit the submission of position papers on novel LtR algorithms, on evaluation of LtR algorithms, on dataset creation and curation, and on domain specific applications of LtR. LEARNER@ICTIR2017 will be a gathering of academic people interested in IR, ML and related application areas. We believe that the proposed workshop is relevant to ICTIR since we look for novel contributions to LtR focused on foundational and conceptual aspects, which need to be properly framed and modeled.

LEARning Next gEneration Rankers (LEARNER 2017)

Lucchese C;Perego R
2017

Abstract

The aim of LEARNER@ICTIR2017 is to investigate new solutions for LtR. In details, we identify some research areas related to LtR which are of actual interest and which have not been fully explored yet. We solicit the submission of position papers on novel LtR algorithms, on evaluation of LtR algorithms, on dataset creation and curation, and on domain specific applications of LtR. LEARNER@ICTIR2017 will be a gathering of academic people interested in IR, ML and related application areas. We believe that the proposed workshop is relevant to ICTIR since we look for novel contributions to LtR focused on foundational and conceptual aspects, which need to be properly framed and modeled.
2017
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Inglese
ICTIR '17 - ACM SIGIR International Conference on Theory of Information Retrieval
331
332
978-1-4503-4490-6
http://doi.acm.org/10.1145/3121050.3121110
ACM - Association for Computing Machinery
New York
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
1-4 October, 2017
Amsterdam, The Netherlands
Learning to rank
Proceedings Published also on CEUR-WS: 25-Nov-2017 ONLINE: http://ceur-ws.org/Vol-2007/ URN: urn:nbn:de:0074-2007-7 ARCHIVE: ftp://SunSITE.Informatik.RWTH-Aachen.DE/pub/publications/CEUR-WS/Vol-2007.zip CEUR Workshop Proceedings Series 2007
2
restricted
Ferro N.; Lucchese C.; Maistro M.; Perego R.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/333421
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