2 papers
cs.IR2025
HiFIRec Towards High-Frequency yet Low-Intention Behaviors for Multi-Behavior Recommendation
Ruiqi Luo, Ran Jin, Kaixi Hu +2
Multi behavior recommendation leverages multiple types of user-item interactions to address data sparsity and cold-start issues,providing personalized services in domains such as h…
cs.SE2025
MPLinker: Multi-template Prompt-tuning with Adversarial Training for Issue-commit Link Recovery
Bangchao Wang, Yang Deng, Ruiqi Luo +2
In recent years, the pre-training, prompting and prediction paradigm, known as prompt-tuning, has achieved significant success in Natural Language Processing (NLP). Issue-commit Li…