most citedBundle Recommendation with Item-level Causation-enhanced Multi-view Learning

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

MUDI: A Multimodal Biomedical Dataset for Understanding Pharmacodynamic Drug-Drug Interactions

Tung-Lam Ngo, Ba-Hoang Tran, Duy-Cat Can +3

Understanding the interaction between different drugs (drug-drug interaction or DDI) is critical for ensuring patient safety and optimizing therapeutic outcomes. Existing DDI datas…

cs.IR2025

Personalized Diffusion Model Reshapes Cold-Start Bundle Recommendation

Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Thi Nguyen +2

Bundle recommendation aims to recommend a set of items to each user. However, the sparser interactions between users and bundles raise a big challenge, especially in cold-start sce…

cs.IR20241 cited

BRIDGE: Bundle Recommendation via Instruction-Driven Generation

Tuan-Nghia Bui, Huy-Son Nguyen, Cam-Van Nguyen Thi +2

Bundle recommendation aims to suggest a set of interconnected items to users. However, diverse interaction types and sparse interaction matrices often pose challenges for previous…

cs.IR20241 cited

Bundle Recommendation with Item-level Causation-enhanced Multi-view Learning

Huy-Son Nguyen, Tuan-Nghia Bui, Long-Hai Nguyen +4

Bundle recommendation aims to enhance business profitability and user convenience by suggesting a set of interconnected items. In real-world scenarios, leveraging the impact of asy…

cs.CL2024

Overview of the VLSP 2023 -- ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews

Hoang-Quynh Le, Duy-Cat Can, Khanh-Vinh Nguyen +1

This paper presents a comprehensive overview of the Comparative Opinion Mining from Vietnamese Product Reviews shared task (ComOM), held as part of the 10 International Work…