TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation.
Jingyuan LiYue ZhangXuan LinXinxing YangGe ZhouLongfei LiHong ChenJun ZhouPublished in: SIGIR (2023)
Keyphrases
- meta learning
- cold start problem
- news recommendation
- recommender systems
- collaborative filtering
- cold start
- inductive learning
- learning tasks
- matrix factorization
- decision trees
- model selection
- news articles
- data sparsity
- feature selection
- user comments
- personalized recommendation
- user preferences
- machine learning
- machine learning algorithms
- data mining
- metamodel
- news items
- online news
- base classifiers
- knowledge acquisition
- text classification
- user interests
- user generated content
- social media
- user profiles
- social networks
- transfer learning