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Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
Shanshan Feng
,
Haoming Lyu
,
Fan Li
,
Zhu Sun
,
Caishun Chen
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A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation
Huizi Wu
,
Hui Fang
,
Zhu Sun
,
Cong Geng
,
Yew-Soon Ong
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Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction
Youchen Sun
,
Zhu Sun
,
Xiao Sha
,
Jie Zhang
,
Yew-Soon Ong
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Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation
Jiajie Zhu
,
Yan Wang
,
Feng Zhu
,
Zhu Sun
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Meta-Learning Enhance Next POI Recommendation with Auxiliary Cities
Jinze Wang
,
Lu Zhang
,
Zhu Sun
,
Yew-Soon Ong
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Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation
Yatong Sun
,
Xiaochun Yang
,
Zhu Sun
,
Bin Wang
,
Yan Wang
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Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects
Xinghua Qu
,
Hongyang Liu
,
Zhu Sun
,
Xiang Yin
,
Yew-Soon Ong
,
Lu Lu
,
Zejun Ma
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Importance Prioritized Policy Distillation
Xinghua Qu
,
Ong Yew Soon
,
Abhishek Gupta
,
Pengfei Wei
,
Zhu Sun
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Next Point-of-Interest Recommendation with Inferring Multi-step Future Preference
Existing studies on next point-of-interest (POI) recommendation mainly attempt to learn user preference from the past and current …
Lu Zhang
,
Zhu Sun
,
Ziqing Wu
,
Jie Zhang
,
Ong Yew Soon
,
Xinghua Qu
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Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
Zhu Sun
,
Jie Yang
,
Kaidong Feng
,
Hui Fang
,
Xinghua Qu
,
Yew-Soon Ong
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