3月26日,国际学术会议SIGIR 2024论文接收结果公布。中国人民大学高瓴人工智能学院师生有15篇论文被录用(10篇长文、1篇数据集、2篇短文、2篇demo)。The 47th International ACM SIGIR Conference on Research and Development in Information Retrieva...
7月17日,信息检索领域国际学术会议SIGIR 2024正式公布了论文获奖名单,中国人民大学高瓴人工智能学院师生参与的4篇论文获奖。徐君教授团队论文“A Taxation Perspective for Fair Re-ranking”获得了长文最佳论文提名奖(Best Paper Honorable Me...
SIGIR 2024的基本信息与征稿情况现已在官网发布。本次会议包括研究长文（Full paper）、研究短文（Short paper）、资源与可复现性论文（Resource & Reproducibility papers )、前瞻性论文（Perspective papers）、演示系统（System demonstrations）、博士生论坛（Doctoral consortium）、教程报告（Tutorials）和研讨会（Worksho...
18. LLMRec: Large Language Models with Graph Augmentation for Recommendation, WSDM 2024. 19. ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models, WSDM 2024. 20. Generative Sequential Recommendation with GPTRec, SIGIR 2023 Gen-IR. 三. 小结 一. 引言...
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SIGKDD 2024 (CCF-A) 链接:SIGKDD - Conferences 会议时间:待定(23年 August 6-10, 2023) 截稿时间:待定(23年 Feb 2, 2023) SIGIR 2024 (CCF-A) 链接:sigir.org/ 会议时间:July 14-18, 2024 截稿时间:full paper January 25, 2024 , short paper / industry tack 待定 CIKM 2024(CCF-B) 链接:...
Yuxi Liu, Lianghao Xia, Chao Huang*SIGIR2024 * denotes corresponding author In this paper, we propose a novel framework called Self-Supervised Graph Neural Network (SelfGNN) for sequential recommendation. TheSelfGNNframework encodes short-term graphs based on time intervals and utilizes Graph Neural...
SIGIR-RR submissions are for revised manuscripts of either full or short papers that were submitted to but not accepted by the SIGIR 2024 conference (this option is not available for other SIGIR paper tracks, e.g., perspectives, resources, or reproduci...
SIGIR-RR submissions are for revised manuscripts of either full or short papers that were submitted to but not accepted by the SIGIR 2024 conference (this option is not available for other SIGIR paper tracks, e.g., perspectives, resources, or re...
modified: 2024-01-13 Conference Paper SIGIR,Recsys,WSDM,KDD,etc. Nonemeans unavailable URL or papers that have not been published yet. 2023 WSDM 2023 ICLR 2023 WWW 2023 Recsys 2023 A Lightweight Method for Modeling Confidence in Recommendations with Learned Beta Distributions ...