Robotics & Machine Learning Daily News2024,Issue(Nov.28) :107-107.

Xihua University Researchers Highlight Research in Intelligent Systems (Unveilin g user identity across social media: a novel unsupervised gradient semantic mode l for accurate and efficient user alignment)

西华大学科研人员重视智能系统研究(通过社交媒体揭开g用户身份:一种新的无监督准确高效用户的梯度语义模式L对齐

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :107-107.

Xihua University Researchers Highlight Research in Intelligent Systems (Unveilin g user identity across social media: a novel unsupervised gradient semantic mode l for accurate and efficient user alignment)

西华大学科研人员重视智能系统研究(通过社交媒体揭开g用户身份:一种新的无监督准确高效用户的梯度语义模式L对齐

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-智能系统的研究结果在一篇新的报告中讨论。根据NewsRx编辑对西华大学的新闻报道,研究称,“社会网络领域”分析表明,用户调整(UA)是一个关键的调查领域。UA的作用是在不同的社交网络中识别和连接用户帐户,即使没有明确的相互联系。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on intelligent syste ms are discussed in a new report. According tonews reporting out of Xihua Unive rsity by NewsRx editors, research stated, “The field of social networkanalysis has identified User Alignment (UA) as a crucial area of investigation. The objec tive of UA isto identify and connect user accounts across diverse social networ ks, even when there are no explicitinterconnections.”

Key words

Xihua University/Intelligent Systems/M achine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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