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Stochastic Relevance for Crowdsourcing., , и . ECIR (1), том 11437 из Lecture Notes in Computer Science, стр. 755-762. Springer, (2019)Exploiting Stopping Time to Evaluate Accumulated Relevance., и . ICTIR, стр. 169-176. ACM, (2020)Strong approximations for stochastic differential equations with boundary conditions, , и . Stochastic Processes and their Applications, 61 (2): 323--337 (февраля 1996)Are IR Evaluation Measures on an Interval Scale?, , и . ICTIR, стр. 67-74. ACM, (2017)Basis of a Formal Framework for Information Retrieval Evaluation Measurements., , и . IIR, том 1653 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Scales of Evaluation Measures: From Theory to Experimentation., , , и . IIR, том 2441 из CEUR Workshop Proceedings, стр. 10-11. CEUR-WS.org, (2019)s-AWARE: Using Crowd Judgements in Supervised Measure-Based Methods for IR Evaluation., , и . IRCDL, том 2816 из CEUR Workshop Proceedings, стр. 162-168. CEUR-WS.org, (2021)How to Robustly Combine Judgements from Crowd Assessors with AWARE., , и . SEBD, том 2161 из CEUR Workshop Proceedings, CEUR-WS.org, (2018)A Markovian Approach to Evaluate Session-Based IR Systems., , , и . ECIR (1), том 11437 из Lecture Notes in Computer Science, стр. 621-635. Springer, (2019)CAMEO: Fostering Joint Conversational Search and Recommendation., , , , , , и . SEBD, том 3741 из CEUR Workshop Proceedings, стр. 290-301. CEUR-WS.org, (2024)