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"Recommendation": models, code, and papers
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Pre-Trained Model Recommendation for Downstream Fine-tuning

Mar 11, 2024
Jiameng Bai, Sai Wu, Jie Song, Junbo Zhao, Gang Chen

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Ensure Timeliness and Accuracy: A Novel Sliding Window Data Stream Paradigm for Live Streaming Recommendation

Feb 22, 2024
Fengqi Liang, Baigong Zheng, Liqin Zhao, Guorui Zhou, Qian Wang, Yanan Niu

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Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm

Feb 14, 2024
Ali Rostami, Ramesh Jain, Amir M. Rahmani

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Forward Learning of Graph Neural Networks

Mar 16, 2024
Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey Yang, Ryan Rossi, Puja Trivedi, Nesreen Ahmed

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Knowledge Graph-based Session Recommendation with Adaptive Propagation

Feb 17, 2024
Yu Wang, Amin Javari, Janani Balaji, Walid Shalaby, Tyler Derr, Xiquan Cui

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Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction

Feb 14, 2024
Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu

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Whose Side Are You On? Investigating the Political Stance of Large Language Models

Mar 15, 2024
Pagnarasmey Pit, Xingjun Ma, Mike Conway, Qingyu Chen, James Bailey, Henry Pit, Putrasmey Keo, Watey Diep, Yu-Gang Jiang

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Discrete Semantic Tokenization for Deep CTR Prediction

Mar 13, 2024
Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu

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Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random

Feb 26, 2024
Wonbin Kweon, Hwanjo Yu

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Leveraging Federated Learning and Edge Computing for Recommendation Systems within Cloud Computing Networks

Mar 13, 2024
Yaqian Qi, Yuan Feng, Xiangxiang Wang, Hanzhe Li, Jingxiao Tian

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