Article-Journal

PCDe: A Personalized Conversational Debiasing Framework for Next POI Recommendation with Uncertain Check-Ins
Chen Li, Huoyan Huang, Zhu Sun, Lu Zhang, Shanshan Feng, Guanfeng Liu
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A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models
In recent years, the potential applications of Large Multimodal Models (LMMs) in fields such as healthcare, social psychology, and …
Fan Li, Ching-Hung Lee, Su Han, Shanshan Feng, Zhu Sun
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A Survey on Truth Discovery: Concepts, Methods, Applications and Opportunities
Shuang Wang, He Zhang, Michael Sheng, Xiaoping Li, Zhu Sun, Taotao Cai, Wei Emma Zhang, Jian Yang, Qing Gao
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Adaptive Intention Learning for Session-based Recommendation
In recent years, session-based recommender systems (SRSs) have emerged as a significant research focus within the recommendation field. …
Qingbo Zhang, Xiaochun Yang, Hao Chen, Bing Wang, Zhu Sun, Xiangmin Zhou
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Revisiting Bundle Recommendation for Intent-aware Product Bundling
Product bundling represents a prevalent marketing strategy in both offline stores and e-commerce systems. Despite its widespread use, …
Zhu Sun, Kaidong Feng, Jie Yang, Hui Fang, Xinghua Qu, Yew-Soon Ong, Wenyuan Liu
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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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