Enhancing Recommendation Accuracy and Diversity with Box Embedding: A Universal Framework.
Cheng WuShaoyun ShiChaokun WangZiyang LiuWang PengWenjin WuDongying KongHan LiKun GaiPublished in: WWW (2024)
Keyphrases
- theoretical framework
- lightweight
- high accuracy
- computational cost
- main contribution
- neural network
- recommendation algorithms
- error rate
- recommender systems
- machine learning
- computational complexity
- high dimensional
- multi agent systems
- video sequences
- multi agent
- image segmentation
- information systems
- search engine
- vector space
- conceptual framework
- data sets