activity
20212023
most citedTemporal aware Multi-Interest Graph Neural Network For Session-based Recommendation

7 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2023★ 1 cited

Text2Bundle: Towards Personalized Query-based Bundle Generation

Shixuan Zhu, Chuan Cui, JunTong Hu +3

Bundle generation aims to provide a bundle of items for the user, and has been widely studied and applied on online service platforms. Existing bundle generation methods mainly uti…

cs.IR2023

Towards Multi-Subsession Conversational Recommendation

Yu Ji, Qi Shen, Shixuan Zhu +4

Conversational recommendation systems (CRS) could acquire dynamic user preferences towards desired items through multi-round interactive dialogue. Previous CRS mainly focuses on th…

cs.IR2022

Data-Augmented Counterfactual Learning for Bundle Recommendation

Shixuan Zhu, Qi Shen, Yiming Zhang +2

Bundle Recommendation (BR) aims at recommending bundled items on online content or e-commerce platform, such as song lists on a music platform or book lists on a reading website. S…

cs.IR2021★ 7 cited

Temporal aware Multi-Interest Graph Neural Network For Session-based Recommendation

Qi Shen, Shixuan Zhu, Yitong Pang +2

Session-based recommendation (SBR) is a challenging task, which aims at recommending next items based on anonymous interaction sequences. Despite the superior performance of existi…

cs.IR2021

Intention Adaptive Graph Neural Network for Category-aware Session-based Recommendation

Chuan Cui, Qi Shen, Shixuan Zhu +4

Session-based recommendation (SBR) is proposed to recommend items within short sessions given that user profiles are invisible in various scenarios nowadays, such as e-commerce and…