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相关概念视频

Retrieval01:12

Retrieval

390
Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
Recall involves accessing information without cues, such as during an essay test, where individuals must retrieve facts and concepts from memory unaided. Another example is remembering the name of a colleague...
390
Selectins01:25

Selectins

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Cell adhesion is  an essential aspect of multicellularity. While stable cell interactions usually occur between cells of the same type, transient cell interactions occur between cells of different tissue types, such as between neutrophils and endothelial cells. Selectins are one class of cell adhesion molecules (CAMs) that bind carbohydrate ligands to form transient cell adhesion. They are rod-like proteins with a long extracellular part of variable length ending with the lectin domain,...
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Affinity and Avidity01:41

Affinity and Avidity

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Overview
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Collisions in Multiple Dimensions: Problem Solving01:06

Collisions in Multiple Dimensions: Problem Solving

5.2K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
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The Representativeness Heuristic02:13

The Representativeness Heuristic

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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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Collisions in Multiple Dimensions: Introduction01:05

Collisions in Multiple Dimensions: Introduction

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It is far more common for collisions to occur in two dimensions; that is, the initial velocity vectors are neither parallel nor antiparallel to each other. Let's see what complications arise from this. The first idea is that momentum is a vector. Like all vectors, it can be expressed as a sum of perpendicular components (usually, though not always, an x-component and a y-component, and a z-component if necessary). Thus, when the statement of conservation of momentum is written for a...
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相关实验视频

Updated: Jan 9, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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结合查询基于嵌入的几次拍摄项目的建议.

Jeonghoon Kim1, Dongwon Jung2, Hogun Park1

  • 1Department of Artificial Intelligence, Sungkyunkwan University, Suwon, Republic of Korea.

Neural networks : the official journal of the International Neural Network Society
|December 7, 2025
PubMed
概括

本研究引入了基于连接查询嵌入的推系统 (CQER),以解决推中的用户冷启动问题. 从知识图表中,CQER有效地模拟用户意图,在稀疏数据场景中表现优于现有方法.

科学领域:

  • 人工智能的人工智能
  • 计算机科学 计算机科学
  • 信息检索 信息检索

背景情况:

  • 用户冷启动问题是推系统的一个重大挑战,特别是在稀缺数据的情况下.
  • 现有的解决方案往往需要大量的数据或复杂的元学习,而基于知识图的方法在稀疏的环境中与噪音和泛化作斗争.

研究的目的:

  • 提出一个新的推系统,CQER,有效地解决用户的冷启动问题.
  • 使用来自知识图的连接查询嵌入模拟用户意图,提高稀疏数据场景的准确性.

主要方法:

  • 开发了基于联合查询嵌入的推系统 (CQER).
  • 模拟用户意图作为由关系级路径组成的逻辑查询.
  • 通过连接查询嵌入来编码意图,以捕捉稀疏设置中的不确定性,支持K-shot建议 (K=1或K=5).

主要成果:

  • 在多个数据集中,CQER的表现始终优于现有的推方法.
  • 该模型对具有有限交互历史的用户进行了准确的预测.
  • 在推推断中实现了高的解释性.

结论:

  • 在项目推中,CQER为用户的冷启动问题提供了有效的解决方案.
关键词:
冷启动问题 问题知识图表知识图表推系统是一个推系统.

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  • 结合式查询嵌入方法在稀疏的数据环境中提高了模型性能和可解释性.
  • 拟议的方法为传统的元学习和知识图传播技术提供了强大的替代方案.