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Understanding Diversity in Session-Based Recommendation


Aug 29, 2022
Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong

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DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation


Jun 22, 2022
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang

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* DaisyRec-v2.0 contains a Python toolkit developed for benchmarking top-N recommendation task. Our code is available at https://github.com/recsys-benchmark/DaisyRec-v2.0 

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Attention over Self-attention:Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation


Jan 14, 2022
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chi Xu, Chee-Keong Kwoh

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Defending Adversarial Attacks without Adversarial Attacks in Deep Reinforcement Learning


Aug 14, 2020
Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun

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Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy


Nov 22, 2019
Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta

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Attentive Knowledge Graph Embedding for Personalized Recommendation


Oct 30, 2019
Xiao Sha, Zhu Sun, Jie Zhang

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Interacting Attention-gated Recurrent Networks for Recommendation


Sep 07, 2017
Wenjie Pei, Jie Yang, Zhu Sun, Jie Zhang, Alessandro Bozzon, David M. J. Tax

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* Accepted by ACM International Conference on Information and Knowledge Management (CIKM), 2017 

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