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ACM Transactions on Recommender Systems

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论文数15
被引数
期刊论文 15
发表时间
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Diffusion Recommender Models and the Illusion of Progress: A Concerning Study of Reproducibility and a Conceptual Mismatch扩散推荐模型与进展的幻象：一项关于可重复性和概念错配的令人担忧的研究
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delete2026-03-01
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deleteBenigni, Michael; Dacrema, Maurizio Ferrari; Jannach, Dietmar
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CROSS: Feedback-Oriented Multi-Modal Dynamic Alignment in Recommendation SystemsCROSS：面向反馈的多模态动态对齐在推荐系统中
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deleteLi, Yang; Du, Junpeng; Wang, Chenzhan; Li, Zunlong; Zh, Xiaomin; Lin, Chen
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UISA: User Information Separating Architecture for Commodity Recommendation Policy with Deep Reinforcement LearningUISA：基于深度强化学习的商品推荐策略用户信息分离架构
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deleteXu, Aobo; Jian, Ling; Yin, Yue; Zhang, Na
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Social Perception with Graph Attention Network for Recommendation基于图注意力网络的社交感知推荐
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deleteJiang, JieLin; Guo, Pengcheng; Xu, Xiaolong; Wu, Jintao; Cui, Yan
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Don't Get Bored: Enhancing Scalability and Diversity in Session-Based Slate Recommendation不要感到无聊：提升会话式序列推荐中的可扩展性和多样性
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deleteRoy, Aayush Singha; D'Amico, Edoardo; Tragos, Elias; Lawlor, Aongh Us; Hurley, Neil
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Breaking Feedback Loops in Recommender Systems with Causal Inference
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deleteKrauth, Karl; Wang, Yixin; Jordan, Michael
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Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction非商品页面对于序列下一商品预测的影响建模与分析
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deleteFischer, Elisabeth; Zehe, Albin; Hotho, Andreas; Schlor, Daniel
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Compositions of Variant Experts for Integrating Short-Term and Long-Term Preferences变体专家组合以整合短期和长期偏好
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deleteDo, Jaime Hieu; Le, Trung-Hoang; Lauw, Hady
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Self-supervised Graph Neural Sequential Recommendation with Disentangling Long and Short-Term Interest自监督图神经序列推荐方法：分离长期与短期兴趣
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deleteHe, Liang; Yan, WuJie; Yi, Tingzhou; Sun, Heli
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Beyond Recommendations: Sequential Recommendation with Collaborative Explanation超越推荐：具有协同解释的序列推荐
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deleteYu, Yi; Sugiyama, Kazunari; Jatowt, Adam
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Introduction to the Special Issue on Deep Reinforcement Learning for Recommender Systems深度强化学习推荐系统专刊引言
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deleteQi, Lianyong; Wang, Shoujin; Sheng, Victor S.; Yao, Lina
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Shift your Focus for the Greater Good: Improving Fairness at no cost for Accuracy and Diversity in News Recommender Systems将关注点转向更大的益处：在不影响准确性和多样性的前提下提升新闻推荐系统的公平性
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deleteTreuillier, Celina; Castagnos, Sylvain; Dufraisse, Evan; Ozgobek, Ozlem; Brun, Armelle
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Heterogeneous Adaptive Preference Learning for Recommendation异构自适应偏好学习推荐
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deleteSang, Lei; Fei, Weichen; Zhang, Yi; Huang, Yuee; Zhang, Yiwen
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Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models通过大型语言模型实现高效且可部署的知识注入，用于开放世界推荐
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deleteXi, Yunjia; Liu, Weiwen; Lin, Jianghao; Weng, Muyan; Cai, Xiaoling; Zhu, Hong; Zhu, Jieming; Chen, Bo; Tang, Ruiming; Yu, Yong; Zhang, Weinan
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A Reward-Informed Semi-Personalized Bandit Approach for Enhancing Accuracy and Serendipity in Online Slate Recommendations基于奖励信息的半个性化推荐 Slate 方法，用于提升在线推荐中准确性与意外发现的平衡
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deleteDe Kerpel, Lukas; Benoit, Dries
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