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Axiometrics: An Axiomatic Approach to Information Retrieval Effectiveness Metrics.

, и . ICTIR, стр. 8. ACM, (2013)

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Stefano Meini

Stefano Cracolici

Stefano Terzo

Stefano Cardanobile

Giovanni Stefano

 

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Negotiating a Multidimensional Framework for Relevance Space., и . MIRA, BCS, (1999)Preface., и . EVIA@NTCIR, National Institute of Informatics (NII), (2014)Theme issue on interactive mobile information access., , , , и . Pers. Ubiquitous Comput., 10 (4): 193-194 (2006)How Many Crowd Workers Do I Need? On Statistical Power when Crowdsourcing Relevance Judgments., , , , , и . ACM Trans. Inf. Syst., 42 (1): 21:1-21:26 (января 2024)On Crowdsourcing Relevance Magnitudes for Information Retrieval Evaluation., , , и . ACM Trans. Inf. Syst., 35 (3): 19:1-19:32 (2017)Axiomatic thinking for information retrieval: introduction to special issue., , , и . Inf. Retr. J., 23 (3): 187-190 (2020)How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing., , , и . CIKM Workshops, том 2482 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)Content-Based Similarity of Twitter Users., , и . ECIR, том 9022 из Lecture Notes in Computer Science, стр. 507-512. (2015)Advancing relevance research: Theory integration, methodological progress, and critical questions. Sponsored by SIG CRS, USE., , , , , , и . ASIST, том 40 из Proc. Assoc. Inf. Sci. Technol., стр. 427-428. Wiley, (2003)When Truncated Rankings Are Better and How to Measure That - Abstract., , и . CIRCLE, том 3178 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)