Li Zhang

KEML: A Knowledge Enhanced Meta-Learning Model for User Cold-Start Recommendation

The user cold-start problem refers to the decline in recommendation quality that occurs when a new user joins a recommendation system due to sparse interaction data. To address this issue, recent studies have adopted meta-learning methods that learn global initial parameters and quickly adapt to new users with minimal...