Divide and Conquer: Towards Better Embedding-based Retrieval for Recommender Systems from a Multi-task Perspective.
Yuan ZhangXue DongWeijie DingBiao LiPeng JiangKun GaiPublished in: WWW (Companion Volume) (2023)
Keyphrases
- multi task
- recommender systems
- multi task learning
- learning tasks
- multitask learning
- collaborative filtering
- multiple tasks
- information retrieval
- multi class
- gaussian processes
- transfer learning
- metric learning
- sparse learning
- image retrieval
- feature selection
- matrix factorization
- learning problems
- supervised learning
- probabilistic model