研究人员开发了一种名为阈值资格控制（TEC）的新推荐系统，旨在优化Timee等日本零工平台上的稀缺、短暂机会的曝光。该系统旨在防止对未产生多少实际职位的热门职位模板进行集中推荐，而是根据发布活动和未满足的需求重新分配曝光。现场实验表明，TEC将求职率从57.6%提高到70.0%，并改善了匹配结果。 AI
影响 这项研究通过改进机会的推荐方式，有可能提高零工经济平台上的工作匹配效率。
排序理由 该集群包含一篇详细介绍新推荐系统和现场实验的研究论文。
在 arXiv cs.IR (Information Retrieval) 阅读 →
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
How should recommender systems be designed when recommendations shape access to scarce, short-lived opportunities? We study this question in a production setting: Timee, Japan's largest platform for spot work, where workers favorite job templates and receive notifications when fi…
How should recommender systems be designed when recommendations shape access to scarce, short-lived opportunities? We study this question in a production setting: Timee, Japan's largest platform for spot work, where workers favorite job templates and receive notifications when fi…