Multi-View Curriculum Contrastive Learning via Energy-Constrained Graph Diffusion and Hypergraph Transformer for Session Recommendation

The fusion of intra-session context and inter-session transitions has proven effective for session-based recommendation (SBR). However, existing approaches face three challenges: (i) capturing long-range dependencies among items while suppressing noise in the global item graph; (ii) jointly modeling...

Повний опис

Бібліографічні деталі

Автори:	Peng Sun, Chengyin Ye, Zikang Wang
Формат:	Artigo
Мова:	Inglês
Опубліковано:	IEEE 2025-01-01
Серія:	IEEE Access
Предмети:	Contrastive learning curriculum learning graph diffusion hypergraph session-based recommendation transformer networks
Онлайн доступ:	https://ieeexplore.ieee.org/document/11241981/
Теги:	Додати тег Немає тегів, Будьте першим, хто поставить тег для цього запису!