1 citations · 4 across the 7 of their papers we have counts for
7 papers
Contrastive Learning for Cold Start Recommendation with Adaptive Feature Fusion
Jiacheng Hu, Tai An, Zidong Yu +2
This paper proposes a cold start recommendation model that integrates contrastive learning, aiming to solve the problem of performance degradation of recommendation systems in cold…
Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
Wenyi Liu, Ziqi Zhang, Xinshi Li +3
This paper addresses key challenges in enhancing recommendation systems by leveraging Graph Neural Networks (GNNs) and addressing inherent limitations such as over-smoothing, which…
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…
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…
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…
Optimizing News Text Classification with Bi-LSTM and Attention Mechanism for Efficient Data Processing
Bingyao Liu, Jiajing Chen, Rui Wang +3
The development of Internet technology has led to a rapid increase in news information. Filtering out valuable content from complex information has become an urgentproblem that nee…
Graph Neural Network Framework for Sentiment Analysis Using Syntactic Feature
Linxiao Wu, Yuanshuai Luo, Binrong Zhu +3
Amidst the swift evolution of social media platforms and e-commerce ecosystems, the domain of opinion mining has surged as a pivotal area of exploration within natural language pro…