3 papers
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…
cs.IR2024
A Recommendation Model Utilizing Separation Embedding and Self-Attention for Feature Mining
Wenyi Liu, Rui Wang, Yuanshuai Luo +3
With the explosive growth of Internet data, users are facing the problem of information overload, which makes it a challenge to efficiently obtain the required resources. Recommend…
cs.CR2024
Balancing Innovation and Privacy: Data Security Strategies in Natural Language Processing Applications
Shaobo Liu, Guiran Liu, Binrong Zhu +3
This research addresses privacy protection in Natural Language Processing (NLP) by introducing a novel algorithm based on differential privacy, aimed at safeguarding user data in c…