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"Recommendation": models, code, and papers
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Multi-view Graph Convolution for Participant Recommendation

Nov 20, 2023
Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu

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Inverse Learning with Extremely Sparse Feedback for Recommendation

Nov 20, 2023
Guanyu Lin, Chen Gao, Yu Zheng, Yinfeng Li, Jianxin Chang, Yanan Niu, Yang Song, Kun Gai, Zhiheng Li, Depeng Jin, Yong Li

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Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation

Nov 17, 2023
Shenghao Yang, Chenyang Wang, Yankai Liu, Kangping Xu, Weizhi Ma, Yiqun Liu, Min Zhang, Haitao Zeng, Junlan Feng, Chao Deng

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Unlocking the Potential of Large Language Models for Explainable Recommendations

Dec 25, 2023
Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen

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Large Multi-modal Encoders for Recommendation

Nov 03, 2023
Zixuan Yi, Zijun Long, Iadh Ounis, Craig Macdonald, Richard Mccreadie

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Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems

Dec 29, 2023
Yongsu Ahn, Yu-Ru Lin

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Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy

Jan 08, 2024
William R. Kearns, Jessica Bertram, Myra Divina, Lauren Kemp, Yinzhou Wang, Alex Marin, Trevor Cohen, Weichao Yuwen

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Spectral-based Graph Neutral Networks for Complementary Item Recommendation

Jan 04, 2024
Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang

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Robust Basket Recommendation via Noise-tolerated Graph Contrastive Learning

Dec 01, 2023
Xinrui He, Tianxin Wei, Jingrui He

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ControlRec: Bridging the Semantic Gap between Language Model and Personalized Recommendation

Nov 28, 2023
Junyan Qiu, Haitao Wang, Zhaolin Hong, Yiping Yang, Qiang Liu, Xingxing Wang

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