WebJul 18, 2024 · DKN is a content-based deep recommendation framework for click-through rate prediction. The key component of DKN is a multi-channel and word-entity-aligned knowledge-aware convolutional neural... WebGraph Neural News Recommendation with User Existing and Potential Interest Modeling. Authors: Zhaopeng Qiu. , Yunfan Hu. , Xian Wu. Authors Info & Claims. ACM …
Multi-Behavior Enhanced Heterogeneous Graph …
WebNews recommendation, Graph neural networks, Long-term interest, Short-term interest 1. Introduction As the amount of online news platforms such as Yahoo! news1 and Google news2 increases, users are overwhelmed with a large volume of news from the worldwide covering various topics. To alleviate the information overloading, WebFeb 4, 2024 · This paper model the user-news interactions as a bipartite graph and proposes a novel Graph Neural News Recommendation model with Unsupervised Preference Disentanglement, named GNUD, which can effectively improve the performance of news recommendation and outperform state-of-the-art news recommendation … chipotle sauce brussels sprouts
Graph Neural News Recommendation with Unsupervised …
WebInteraction graph neural network for news recommendation. In Proceedings of the International Conference on Web Information Systems Engineering. Springer, 599 – 614. Google Scholar [37] Qiu Ruihong, Huang Zi, Li Jingjing, and Yin Hongzhi. 2024. Exploiting cross-session information for session-based recommendation with graph neural … WebChuhan Wu, Fangzhao Wu, Tao Qi, and Yongfeng Huang: Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation. Findings of ACL 2024. Chuhan Wu, Fangzhao Wu, … WebJan 4, 2024 · Attention-Based Recommendation On Graphs. Graph Neural Networks (GNN) have shown remarkable performance in different tasks. However, there are a few … grant wire