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实体 Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace

Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace

PulseAugur coverage of Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace — every cluster mentioning Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_119645 ·

    新框架通过竞争性目标个性化招聘市场政策

    研究人员开发了一个新颖的框架,用于在双边市场中个性化政策,特别解决了不同用户群体之间目标冲突的挑战。该框架应用于一个招聘市场,以优化职位列表的免费价值阈值,旨在在遵守参与度护栏的同时改进目标指标。该系统集成了基于集成学习的混合排名模型进行多目标优化,以及一种处理效应外推方法,将实验结果推广到未经测试的政策级别,即使在约束性实验下也能有效实现个性化。