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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

129
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
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Multiple Regression01:25

Multiple Regression

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Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
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相关实验视频

Updated: Jul 19, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
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Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

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基于多模式和多向量数据挖掘的旅行推算法的开发.

Ruixiang Liu1

  • 1Nanchang Normal University, Nanchang, China.

PeerJ. Computer science
|August 7, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的旅行推算法,使用多模式数据挖掘来增强旅游目的地建议. 这种新的方法通过分析丰富的社交媒体内容来提高推准确性,使旅游业受益.

关键词:
功能选择 功能选择多式联运数据多式联运数据个性化推个人推.旅行建议 旅行建议词语意义细分 词语意义细分

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科学领域:

  • 计算机科学 计算机科学
  • 数据挖掘 数据挖掘
  • 人工智能的人工智能

背景情况:

  • 旅游业面临着对景点个性化信息的日益增长的需求.
  • 现有的推系统主要使用文本数据,这限制了它们的有效性.
  • 社交媒体提供了丰富的多模式数据,对于全面的旅游洞察至关重要.

研究的目的:

  • 开发一种新的旅行推算法,利用多模式数据挖掘.
  • 提高旅游目的地推的准确性和个性化性.
  • 解决旅游部门基于文本的推系统的局限性.

主要方法:

  • 在社交媒体内容上使用多模式数据挖掘技术.
  • 开发了一个旅行推平台,具有多向量词语意义细分.
  • 实施多式联运数据融合,并引入主题词来改进建议.

主要成果:

  • 拟议的算法在TripAdvisor数据上展示了优越的推性能.
  • 获得了高精度 (0.0026) 和MAP (0.0089) 值, LOP 为 20.
  • 与现有方法相比,表现出更好的话题混和建议准确性.

结论:

  • 多模式推算法为旅游业提供了巨大的潜力.
  • 多模式旅游数据的有效挖掘可以产生大量的经济和社会价值.
  • 这种方法为个性化旅游目的地推提供了更强大的解决方案.