RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction.
Yanyan ShenLifan ZhaoWeiyu ChengZibin ZhangWenwen ZhouKangyi LinPublished in: CoRR (2022)
Keyphrases
- user preferences
- meta learning
- user profiles
- recommender systems
- collaborative filtering
- recommendation systems
- user feedback
- user specific
- user interests
- preference model
- inductive learning
- user behavior
- learning tasks
- content based filtering
- prediction accuracy
- model selection
- user ratings
- recommendation algorithms
- user interaction
- machine learning algorithms
- decision trees
- text mining
- user interface
- feature selection
- machine learning
- information seeking tasks
- search behavior
- decision makers
- knowledge representation
- pairwise
- case study
- information retrieval