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Bias and Fairness in Effectiveness Evaluation by Means of Network Analysis and Mixture Models.

, , and . IIR, volume 2441 of CEUR Workshop Proceedings, page 6-7. CEUR-WS.org, (2019)

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Improving the Efficiency of Retrieval Effectiveness Evaluation: Finding a Few Good Topics with Clustering?, and . IIR, volume 1653 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Do Easy Topics Predict Effectiveness Better Than Difficult Topics?, , and . ECIR, volume 10193 of Lecture Notes in Computer Science, page 605-611. (2017)Leveraging Behavioral Heterogeneity Across Markets for Cross-Market Training of Recommender Systems., , , and . WWW (Companion Volume), page 694-702. ACM / IW3C2, (2020)BUM at CheckThat!-2022: A Composite Deep Learning Approach to Fake News Detection using Evidence Retrieval., , , , , and . CLEF (Working Notes), volume 3180 of CEUR Workshop Proceedings, page 564-572. CEUR-WS.org, (2022)Query Performance Prediction and Effectiveness Evaluation Without Relevance Judgments: Two Sides of the Same Coin., , , and . SIGIR, page 1233-1236. ACM, (2018)Crowdsourced Fact-checking: Does It Actually Work?, , , , , , , and . Inf. Process. Manag., 61 (5): 103792 (2024)A Neural Model to Jointly Predict and Explain Truthfulness of Statements., , , , and . ACM J. Data Inf. Qual., 15 (1): 4:1-4:19 (March 2023)DiLBERT: Cheap Embeddings for Disease Related Medical NLP., , , and . IEEE Access, (2021)HITS Hits Readersourcing: Validating Peer Review Alternatives Using Network Analysis., , and . BIRNDL@SIGIR, volume 2414 of CEUR Workshop Proceedings, page 70-82. CEUR-WS.org, (2019)Economic Evaluation of Recommender Systems: A Proposal., , and . IIR, volume 1911 of CEUR Workshop Proceedings, page 48-51. CEUR-WS.org, (2017)