Multisample-Based Contrastive Loss for Top-K Recommendation.
Hao TangGuoshuai ZhaoYuxia WuXueming QianPublished in: IEEE Trans. Multim. (2023)
Keyphrases
- recommender systems
- query processing
- collaborative filtering
- recommendation systems
- databases
- scoring function
- personalized recommendation
- real time
- user preferences
- recommendation algorithms
- block max
- contextual bandit
- probabilistic xml
- cold start problem
- tag recommendation
- case study
- information retrieval
- data sets