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Personalization and Recommendations in Search., , , and . WWW (Companion Volume), page 746. ACM, (2023)On Labeling Noise and Outliers for Robust Concept Learning for Image Databases., and . CVPR Workshops, page 94. IEEE Computer Society, (2004)LEAD: Liberal Feature-based Distillation for Dense Retrieval., , , , , , , , and . WSDM, page 655-664. ACM, (2024)Learning Recurrent Event Queries for Web Search., , , , , and . EMNLP, page 1129-1139. ACL, (2010)Active Concept Learning for Image Retrieval in Dynamic Databases., and . ICCV, page 90-95. IEEE Computer Society, (2003)Curriculum Sampling for Dense Retrieval with Document Expansion., , , , , , , and . CoRR, (2022)Incorporating robustness into web ranking evaluation., , , , , and . CIKM, page 2007-2010. ACM, (2009)CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion., , , , , , , and . EMNLP, page 10531-10541. Association for Computational Linguistics, (2023)Joint relevance and freshness learning from clickthroughs for news search., , , , and . WWW, page 579-588. ACM, (2012)SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval., , , , , , , , , and . EMNLP (Industry Track), page 548-559. Association for Computational Linguistics, (2022)