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Titlebook: Computational Data and Social Networks; 12th International C Minh Hoàng Hà,Xingquan Zhu,My T. Thai Conference proceedings 2024 The Editor(s

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CombiGCN: An Effective GCN Model for Recommender System collaborative signal into user and item embeddings which will contain information about user-item interactions after that. However, there are still some unsatisfactory points for a CF model that GNNs could have done better. The way in which the collaborative signal are extracted through an implicit
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Unveiling Sentiments in Vietnamese Education Texts: Could Large Language Model GPT-3.5-turbo Beat Ph Classifying sentiments from Vietnamese text presents numerous challenges as Vietnamese is inherently and linguistically dissimilar to English. Therefore, there urges measures to recognize subtleties in Vietnamese texts and accurately categorize them into suitable labels. In this work, we leverage t
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An Approach for Web Content Classification with FastTextmation retrieval and data collection for machine learning, research, and survey reports in various fields such as meteorology, science, geography, literature, and more. However, manual data collection and classification can be time-consuming and prone to errors. Additionally, AI assistants used for
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Stereotype in Marketing und Werbungngle GPU when scaled normally. When the larger the training size, the better the result is basic tactic, our method demonstrates that training on high resolution scale might not be ideal. Our implementation using ResNet-18 backbone with segment-like head achieves . F1 score on the SCUT-CTW1500 [.] d
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