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Harnessing the Scientific Data Produced by the Experimental Evaluation Search Engines and Information Access Systems

, , , and . Procedia CS, (2011)

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LEARning Next gEneration Rankers (LEARNER 2017)., , , and . ICTIR, page 331-332. ACM, (2017)How do interval scales help us with better understanding IR evaluation measures?, , and . Inf. Retr. J., 23 (3): 289-317 (2020)Digital library interoperability at high level of abstraction., , and . Future Gener. Comput. Syst., (2016)CLAIRE: A combinatorial visual analytics system for information retrieval evaluation., , , , and . Inf. Process. Manag., 54 (6): 1077-1100 (2018)Toward an anatomy of IR system component performances., and . J. Assoc. Inf. Sci. Technol., 69 (2): 187-200 (2018)A Proposal to Extend and Enrich the Scientific Data Curation of Evaluation Campaigns., , and . EVIA@NTCIR, National Institute of Informatics (NII), (2007)Design and Development of the Data Model of a Distributed DLS Architecture for Archive Metadata., and . IRCDL, page 12-21. DELOS: an Association for Digital Libraries / Department of Information Engineering of the University of Padua, (2009)10 Years of CLEF Data in DIRECT: Where We Are and Where We Can Go., , , and . EVIA@NTCIR, page 16-24. National Institute of Informatics (NII), (2010)Harnessing the Scientific Data Produced by the Experimental Evaluation of Search Engines and Information Access Systems, , , and . Elsevier Grand Challenge, (2011)Towards a Superimposed Peer Infrastructure for iNformation Access., , and . SEBD, page 398-405. (2008)