One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation.
Chenglin LiYuanzhen XieChenyun YuBo HuZang LiGuoqiang ShuXiaohu QieDi NiuPublished in: WSDM (2023)
Keyphrases
- cross domain
- learning process
- knowledge transfer
- supervised learning
- learning tasks
- transfer learning
- user preferences
- neural network
- learning algorithm
- reinforcement learning
- recommender systems
- prior knowledge
- information extraction
- collaborative filtering
- multiple domains
- active learning
- pairwise
- text categorization
- low dimensional
- recommendation systems
- machine learning