MCRPL: A Pretrain, Prompt, and Fine-tune Paradigm for Non-overlapping Many-to-one Cross-domain Recommendation.
Hao LiuLei GuoLei ZhuYongqiang JiangMin GaoHongzhi YinPublished in: ACM Trans. Inf. Syst. (2024)
Keyphrases
- cross domain
- fine tune
- fine tuning
- transfer learning
- domain adaptation
- sentiment classification
- multiple domains
- collaborative filtering
- knowledge transfer
- recommender systems
- text categorization
- cross domain learning
- e government
- closed loop
- multiple sources
- target domain
- pid controller
- machine learning
- text mining
- artificial neural networks
- pairwise
- feature space