2 papers
cs.LG2024
An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction
Yaxin Liang, Xinshi Li, Xin Huang +2
This study proposes an automated data mining framework based on autoencoders and experimentally verifies its effectiveness in feature extraction and data dimensionality reduction.…
cs.IR2024
Metric Learning for Tag Recommendation: Tackling Data Sparsity and Cold Start Issues
Yuanshuai Luo, Rui Wang, Yaxin Liang +2
With the rapid growth of digital information, personalized recommendation systems have become an indispensable part of Internet services, especially in the fields of e-commerce, so…