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相关概念视频

Stereotype Content Model02:16

Stereotype Content Model

13.9K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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EDTA: Auxiliary Complexing Reagents01:26

EDTA: Auxiliary Complexing Reagents

526
EDTA titrations are usually carried out in highly basic conditions, where the fully deprotonated form of EDTA, Y4−, actively complexes with the free metal ions in the solution. Several metal ions precipitate as hydrous oxide (hydroxides, oxides, or oxyhydroxides) under these conditions, lowering the concentration of free metal ions in the solution. For this reason, auxiliary complexing agents or ligands such as ammonia, tartrate, citrate, or triethanolamine are used in EDTA titrations to...
526
Predicting Products: Substitution vs. Elimination02:52

Predicting Products: Substitution vs. Elimination

11.4K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
11.4K
Social Exchange Theory02:06

Social Exchange Theory

34.2K
We have discussed why we form relationships, what attracts us to others, and different types of love. But what determines whether we are satisfied with and stay in a relationship? One theory that provides an explanation is social exchange theory. According to social exchange theory, we act as naïve economists in keeping a tally of the ratio of costs and benefits of forming and maintaining a relationship with others (Rusbult & Van Lange, 2003).
34.2K
Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

239
Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a...
239
Self-Evaluation: Self-Enhancement and Self-Verification03:00

Self-Evaluation: Self-Enhancement and Self-Verification

5.2K
Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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相关实验视频

Updated: May 25, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

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通过使用MLA-EDTCNet和协作过来进行情绪分析来增强电子商务建议.

E S Phalguna Krishna1, T Bhargava Ramu2, R Krishna Chaitanya3

  • 1Department of Computer Science and Engineering, GITAM School of Technology, GITAM University-Bengaluru Campus, Bengaluru, India.

Scientific reports
|February 25, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种先进的电子商务推系统,该系统结合了情绪分析 (SA) 和协作过 (CF). 混合深度学习模型通过分析产品评论来提高推准确性和用户满意度.

关键词:
基于注意力的编码器解码器.协作过是一种合作过.修改的条件生成对抗网络.修改的反向类频率算法奥科蒂洛的优化算法情绪分析是一种情绪分析.

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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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相关实验视频

Last Updated: May 25, 2025

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

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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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科学领域:

  • 人工智能的人工智能
  • 数据科学数据科学数据科学
  • 电子商务 技术 技术 电子商务

背景情况:

  • 电子商务的增长需要改进产品推系统.
  • 当前的系统经常在准确性和用户满意度方面扎.
  • 将用户情绪与传统推方法相结合是关键.

研究的目的:

  • 开发一个先进的推框架,整合情绪分析 (SA) 和协作过 (CF).
  • 为了提高推的准确性,精度,回忆,F1得分和AUC.
  • 提高用户对电子商务平台的整体满意度和参与度.

主要方法:

  • 使用基于多层注意力的编码解码器临时卷积神经网络 (MLA-EDTCNet) 的特征级情绪分析.
  • 用于特征提取的基于日志期频率的修改反向类频率 (LFMI).
  • 修改的条件生成对抗网络 (MCGAN) 用于类不平衡和Octillo优化算法 (OcOA) 用于参数调整.

主要成果:

  • 拟议的框架在关键性能指标 (准确性,精度,回忆,F1分数,AUC) 上显著优于最先进的模型.
  • 集成SA和CF提供了高度个性化的产品建议.
  • 在解决阶级不平衡和特征提取挑战方面表现出有效性.

结论:

  • 混合深度学习技术,结合SA和CF,为电子商务推系统提供了强大的解决方案.
  • 该框架通过准确和个性化的建议来增强用户体验.
  • 这种方法在推动在线零售业的业务成功方面具有重大潜力.