Aggregating QuantitativeRelativeJudgments: FromSocialChoicetoRankingPrediction

Neural Information Processing Systems 

Quantitative Relative Judgment Aggregation (QRJA) is a new research topic in (computational) social choice. In the QRJA model, agents provide judgments on the relative quality of different candidates, and the goal is to aggregate these judgments across allagents.

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