E-Commerce Network Search System Based on Target Webpage Positioning and Sentiment Analysis Recommendation [0.03%]
Yu-Chung Hsiao
Yu-Chung Hsiao
With the rise of e-commerce network search systems, product search efficiency and user satisfaction have become increasingly important. To address the low accuracy of consumer sentiment analysis in existing product recommendation scenarios,...
Leveraging Transformer-GNN Integration for Multilingual News Speech-to-Text Similarity Modeling [0.03%]
Jaishree Jain,Saroj Kushwah,Updesh Kumar Jaiswal et al.
Jaishree Jain et al.
The increasing volume of multilingual news broadcasts highlights the need for advanced systems capable of transforming speech into semantically comparable text across languages. Traditional speech-to-text and textual similarity methods ofte...
A Cross-Lingual Real-Time E-Commerce Recommendation Method Based on Siamese Graph Convolutional Network and Bilinear Attention [0.03%]
Jiajia Hu
Jiajia Hu
To balance low latency and high accuracy in cross-lingual real-time recommendation, we propose a two-stage method combining offline high-precision entity representation with online low-latency feature interaction. First, the cross-language ...
Digital and Intelligent Optimization Mechanism of the Entire Supply Chain Link Based on Generative Artificial Intelligence and Neural Semantic Analysis [0.03%]
Minquan Zhao,Can Du,Qing Xu et al.
Minquan Zhao et al.
In the process of supply chain optimization, data has characteristics such as multi-source heterogeneity and unstructuredness. Traditional supply chain optimization methods that rely on structured data and statistical analysis cannot achiev...
Explainable Agentic AI for Big Data-Driven Evaluation and Visual Analytics of Digital Literacy in Higher Vocational Teacher Education [0.03%]
Wen Shao
Wen Shao
Large-scale, diverse data produced by higher vocational teacher colleges' digital transformation challenges traditional methods for evaluating digital literacy. The reliability of current analytics and black-box artificial intelligence (AI)...
AI-Based Forecasting of National Tourism Revenues: Integrating Economic, Fiscal, Political, and Environmental Determinants Through Regression-Oriented Hybrid Models [0.03%]
Yueyan Liu,Hyung Jong Na,Jiang Xue
Yueyan Liu
This study proposes an advanced framework for forecasting national tourism revenues by systematically comparing machine learning (ML), deep learning (DL), and hybrid architectures on a country-year panel. Baseline models using only trade an...
TL-TransUNet: An Improved Lightweight Semantic Segmentation Model of Macular Edema Lesions in Retinal OCT Images [0.03%]
改进的黄斑水肿病变轻量级语义分割模型TL-TransUNet研究
Zhijun Gao,Yishuai Yang,Jinhuan Wang et al.
Zhijun Gao et al.
Optical coherence tomography (OCT) offers significant advantages of noncontact operation, high resolution, and real-time imaging, making it particularly suitable for acquiring human retinal images and playing a crucial role in diagnosing an...
Cross-Lingual Speech-to-Text Systems with Low-Latency Neural Networks for Real-Time Applications [0.03%]
基于低延迟神经网络的实时跨语言语音转文本系统
Jawad Khan,Muhammad Hameed Siddiqi,Tariq Rahim et al.
Jawad Khan et al.
MuTemAPR: Enhance Multilocation Patches with Template-Based Neural Program Repair [0.03%]
基于模板的神经程序修复改进多位置补丁
Tao Zhang,Yu Zhu
Tao Zhang
Automated program repair (APR) has been studied extensively in recent years. Existing approaches mainly generate single-position patches that fail to address multilocation faults effectively. While existing multistep repair approaches can i...
Unified AI Approach Using Encoding and Generative Large Language Models for Variant Product Matching in e-Commerce [0.03%]
基于编码和生成式大规模语言模型的统一AI方法在电子商务中的变体产品匹配应用研究
Pedro Herrero-Vidal,You-Lin Chen,Cris Liu et al.
Pedro Herrero-Vidal et al.
We introduce VARM, variant relationship matcher strategy, to identify pairs of variant products in e-commerce catalogs. Traditional definitions of entity resolution are concerned with whether product mentions refer to the same underlying pr...