HGTA: News Recommendation Based on Hierarchical Granular Semantic Embeddings and Threshold Attention.
Yiwen LiZhenyu YangZhijun LiXiaoyang LiPublished in: CSCWD (2024)
Keyphrases
- cross media
- low dimensional
- semantic information
- topic tracking
- semantic web
- hierarchical structure
- news articles
- high level
- granular computing
- concept hierarchy
- semantic network
- coarse to fine
- semantic similarity
- vector space
- neural network
- social media
- rough sets
- dimensionality reduction
- visual attention
- domain specific
- euclidean space
- semantic web technologies
- semantic analysis
- semantic relationships
- high dimensional data
- co occurrence
- semantic search
- hierarchical clustering
- semantic description
- online news
- threshold selection