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English(EN) Conversational Generalized Linear Bandits with Hybrid Feedback

新的HyConUCB算法通过混合反馈增强推荐系统

研究人员开发了一种名为HyConUCB的新型对话式老虎机算法,该算法通过主动询问用户偏好来改进推荐系统。这种新方法通过结合绝对项目奖励和相对关键词比较,解决了现有系统假定反馈统一的局限性。HyConUCB从这种异构反馈构建统一的置信界,并自适应地选择关键词比较以平衡信息增益和方向覆盖,从而在各种数据集上实现了改进的遗憾界限和经过验证的有效性。 AI

影响 这项研究通过混合反馈机制更好地理解用户偏好,有望带来更个性化、更有效的推荐系统。

排序理由 该集群描述了arXiv论文中提出的一种新算法,这是一篇研究出版物。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的HyConUCB算法通过混合反馈增强推荐系统

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该集群描述了arXiv论文中提出的一种新算法,这是一篇研究出版物。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Yurui Zou, Qirun Zeng, Jinhang Zuo ·

    具有混合反馈的会话式广义线性老虎机

    arXiv:2610.35262v1 Announce Type: new Abstract: Conversational bandits improve recommendations by actively querying users about key-terms to elicit their item preferences. However, existing methods typically assume homogeneous feedback for items and key-terms, using either absolu…