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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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The representative heuristic describes a biased way of thinking, in which you unintentionally stereotype someone or something. For example, you may assume that your professors spend their free time reading books and engaging in intellectual conversation, because the idea of them spending their time playing volleyball or visiting an amusement park does not fit in with your stereotypes of professors.
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People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about...
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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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In general, a schema is a mental construct consisting of a cluster or collection of related concepts (Bartlett, 1932). There are many different types of schemata, and they all have one thing in common: schemata are a method of organizing information that allows the brain to work more efficiently. When a schema is activated, the brain makes immediate assumptions about the person or object being observed.
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Updated: Jun 15, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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语境嵌入式超图注意力网络和自我注意力,用于会议建议.

Zhigao Zhang1,2, Hongmei Zhang1, Zhifeng Zhang3

  • 1College of Computer Science and Technology, Inner Mongolia Minzu University, Tongliao, 028000, China.

Scientific reports
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PubMed
概括

本研究介绍了C-HAN,一种基于会话的新型推模型,有效地捕捉了项目一致性和顺序依赖性. 通过结合上下文信息和注意力机制,C-HAN显著提高了推准确性.

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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
  • 机器学习 机器学习

背景情况:

  • 基于会话的推系统在从有限的历史数据中建模用户意图时面临挑战.
  • 现有的方法往往忽视了用户会话中的项目一致性和上下文适应.
  • 深度学习方法主要集中在顺序或对对的项目关系上.

研究的目的:

  • 提出一种新的基于会话的推模型,C-HAN,它解决了当前方法的局限性.
  • 通过捕捉固有的项目一致性和顺序依赖性来增强用户意图建模.
  • 改进基于会议的推系统中的上下文适应.

主要方法:

  • 开发了C-HAN,这是一个具有并行模块的模型:一个嵌入式上下文超图注意力网络和自我注意力.
  • 利用超图的注意力来纳入多样化的交互背景,提高了背景意识.
  • 采用软注意力机制来整合会话表示的顺序和一致性信息.

主要成果:

  • 在三个真实世界数据集上,C-HAN在最先进的方法上表现出优越的性能.
  • 在Precision@K中实现了6.55%的平均改善,在Recall@K中达到5.91%,在MRR中达到6.17%.
  • 验证了整合项目一致性,顺序依赖性和上下文信息的有效性.

结论:

  • 拟议的C-HAN模型有效地模拟了短期序列中的用户意图.
  • 结合上下文和项目一致性,可以显著提高基于会话的推性能.
  • C-HAN为个性化推系统提供了一个有前途的进步.