QDDR: Quality-Driven Intent Disentanglement with Dual-Path Modeling for Recommendation
Nengjun Zhu, Yixun Lu, Qi Zhang
2026年份
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
相关 Paper
- CCL-Diff: Representation-Consistent Diffusion with Intrinsic Contrastive Learning for Recommender SystemsLingyan Zhang, Wanyu Ling, Shuwen Daizhou, Li Kuang 等WWW 2026
- Curriculum Disentangled Recommendation with Noisy Multi-feedbackHong Chen, Yudong Chen, Xin Wang, Ruobing Xie 等NeurIPS 2021 · 被引用 88 次
- Dual-Perspective Disentanglement: Learning Symmetric Group-Aware Representations for Cross-Domain RecommendationBorui Wu, Yuanbo XuAAAI 2026
- Aligning Recommendation and Conversation via Dual ImitationJinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao 等EMNLP 2022 · 被引用 6 次
- Identifiability of Cross-Domain Recommendation via Causal Subspace DisentanglementJing Du, Zesheng Ye, Bin Guo, Zhiwen Yu 等SIGIR 2024 · 被引用 9 次
