Article-Journal

A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
‘Current study on next point-of-interest (POI) recommendation mainly explores user sequential transitions with the fine-grained …
Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
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BERD+: A Novel Sequential Recommendation Framework For Combating Unreliable Data
‘Most sequential recommendation systems (SRSs) predict the next item as the target for users given its preceding items as input, …
Yatong Sun, Xiaochun Yang, Zhu Sun, Bin Wang
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Purpose tendency-aware diversified strategy for effective session-based recommendation
Session-Based Recommender Systems (SBRSs) process time-aware user–item interactions to capture users’ dynamic preferences. Most of the …
Qin Ying, Danning Zhang, Hui Fang, Zhu Sun
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Understanding Diversity in Session-based Recommendation
Current session-based recommender systems (SBRSs) mainly focus on maximizing recommendation accuracy, while few studies have been …
Qin Ying, Hui Fang, Zhu Sun, Yew Soon Ong
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Attention over Self-attention: Dynamic Re-ranking with User Intentions for Recommendation
Zhuoyi Lin, Sheng Zang, Rundong Wang, Zhu Sun, Chee Keong Kwoh, Chi Xu
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Conversation-based Adaptive Relational Translation Method for Next POI Recommendation with Uncertain Check-ins
Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu, Yunwen Xia
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DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Recently, one critical issue looms large in the field of recommender systems – there are no effective benchmarks for rigorous …
Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang
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Who Wants to Shop with You: Joint Product-Participant Recommendation for Group-Buying Service
Xiao Sha, Zhu Sun, Jie Zhang, Yew Soon Ong
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Adversary Agnostic Robust Deep Reinforcement Learning
‘Deep reinforcement learning (DRL) policies have been shown to be deceived by perturbations (e.g., random noise or intensional …
Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Zhu Sun
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Disentangling Multi-facet Social Relations for Recommendation
Xiao Sha, Zhu Sun, Jie Zhang
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