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Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

Research article (Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023) · cited 22× · AI/ML
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Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model

Summary

Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model is a scholarly article[1].

Key Facts

  • Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/joint-optimization-of-ranking-and-calibration-with-contextualized-hybrid-model
MLA “Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/joint-optimization-of-ranking-and-calibration-with-contextualized-hybrid-model.
BibTeX @misc{4ortxyz_joint-optimization-of-ranking-and-calibration-with-contextualized-hybrid-model_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model}}, year = {2026}, url = {https://4ort.xyz/entity/joint-optimization-of-ranking-and-calibration-with-contextualized-hybrid-model}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model — https://4ort.xyz/entity/joint-optimization-of-ranking-and-calibration-with-contextualized-hybrid-model (retrieved 2026-05-24)

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