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相关概念视频

The Anchoring-and-Adjustment Heuristic01:25

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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
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相关实验视频

Updated: Jun 21, 2025

Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
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通过强调意图特征进行对比的跨领域顺序推.

Ruoxin Ni1, Weishan Cai2, Yuncheng Jiang3

  • 1School of Computer Science, South China Normal University, Guangzhou, 510631, China.

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概括

这项研究介绍了C2DREIF,一种全新的跨领域推模型. 它通过有效整合单一和跨域数据来增强偏好预测,同时考虑用户的长期和短期利益.

关键词:
跨领域的顺序推建议.图表神经网络的神经网络推系统是推系统.自我注意力机制机制

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 跨域序列推旨在利用来自多个域的历史数据预测未来的用户交互.
  • 现有的方法经常与来自无差异跨域信息的杂表示作斗争,并忽略了联合用户偏好建模.
  • 这导致个性化推系统的性能不足.

研究的目的:

  • 提出一个新的模型,C2DREIF,以改善跨领域的顺序推.
  • 为了有效地整合单域和跨域信息,同时限制跨域数据噪声.
  • 为了同时捕捉用户的长期和短期偏好,以准确地提取意图.

主要方法:

  • 使用高斯图形编码器来表示信息,限制相关性和捕获上下文信息.
  • 采用自上而下的变压器来提取用户的意图,同时考虑长期和短期偏好.
  • 应用正规化来增强对比学习并减少负样本的随机性.

主要成果:

  • 拟议的C2DREIF模型有效地限制了跨域信息,减少了表示生成过程中的噪音.
  • 它通过共同考虑跨域的长期和短期偏好,准确地捕捉用户意图.
  • 增强的对比学习提高了模型的稳定性和准确性.

结论:

  • 通过解决现有方法的关键局限性,C2DREIF在跨领域的顺序推方面取得了重大进展.
  • 该模型在个性化偏好提取和预测方面表现出卓越的性能.
  • 未来的工作可以探索跨领域信息融合和用户意图建模的进一步改进.