Noise-reducing graph neural network with intent-target co-action for session-based recommendation
Session-based recommendation (SBR) originates from a real-world need to provide
effective recommendation solutions for unlogged users. How to utilize short interaction …
effective recommendation solutions for unlogged users. How to utilize short interaction …
AAGNN: Adaptive Airport Graph Neural Network for flight sequence prediction
Flight sequence is essential for aviation's secure and orderly operation. Accurate Flight
Sequence Prediction (FSP) gives air traffic controllers (ATCs) an overview of the overall air …
Sequence Prediction (FSP) gives air traffic controllers (ATCs) an overview of the overall air …
CGG: Category-aware global graph contrastive learning for session-based recommendation
M Gan, X Zhang, Y Liang - Knowledge-Based Systems, 2024 - Elsevier
With the auxiliary role of category information in capturing user interests, employing category
information to improve session-based recommendation (SBR) is getting an energetic …
information to improve session-based recommendation (SBR) is getting an energetic …
推荐算法研究进展及知识图谱可视化分析.
林素青， 罗定南， 张书华 - Journal of Computer Engineering …, 2024 - search.ebscohost.com
互联网技术的应用普及使网络数据资源呈指数级增长, 从海量数据中获取需求信息愈加困难.
推荐算法因能有效解决信息过载问题而备受关注, 相关研究成果层出不穷. 以中国知网(CNKI) …
推荐算法因能有效解决信息过载问题而备受关注, 相关研究成果层出不穷. 以中国知网(CNKI) …
基于霍克斯过程和图神经网络的会话推荐.
杨真真， 闫孟儒， 杨永鹏… - Journal of Signal …, 2024 - search.ebscohost.com
针对传统会话推荐系统(Session-Based Recommendation System, SBRS)
往往忽略了项目点击量之间的交互, 以及遗漏了会话内项目之间的相对顺序的问题 …
往往忽略了项目点击量之间的交互, 以及遗漏了会话内项目之间的相对顺序的问题 …