Enhancing recommendations with contrastive learning from collaborative knowledge graph
There have been excellent results using knowledge graphs in recommender systems.
Knowledge graphs can be used as auxiliary information to alleviate data sparsity and …
Knowledge graphs can be used as auxiliary information to alleviate data sparsity and …
Mmkdgat: Multi-modal knowledge graph-aware deep graph attention network for remote sensing image recommendation
In the era of remote sensing (RS) big data, in order to alleviate the time cost of acquiring RS
images, recommending RS images that meet users' individual needs continues to be an …
images, recommending RS images that meet users' individual needs continues to be an …
[HTML][HTML] Multimodal Recipe Recommendation with Heterogeneous Graph Neural Networks
R Ouyang, H Huang, W Ou, Q Liu - Electronics, 2024 - mdpi.com
Recipe recommendation is the process of recommending suitable recipes to users based on
factors such as user preferences and dietary needs. Recipes typically involve multiple …
factors such as user preferences and dietary needs. Recipes typically involve multiple …
Anticancer Recipe Recommendation Based on Cancer Dietary Knowledge Graph
J Tang, B Huang, M **e - European Journal of Cancer Care, 2023 - Wiley Online Library
Many recipes contain ingredients with various anticancer effects, which can help users to
prevent cancer, as well as provide treatment for cancer patients, effectively slowing the …
prevent cancer, as well as provide treatment for cancer patients, effectively slowing the …
MHPS: Multimodality-Guided Hierarchical Policy Search for Knowledge Graph Reasoning
C Gao, X Qin, P Zhang, Y He, X Huang… - ICASSP 2024-2024 …, 2024 - ieeexplore.ieee.org
Recently, path inference-based knowledge graph reasoning (KGR) methods have attracted
great attention due to their good performance and interpretability. However, as the number …
great attention due to their good performance and interpretability. However, as the number …
Interest-Aware Contrastive-Learning-Based GCN for Recommendation
Graph convolutional networks (GCNs) have shown great potential in recommender systems.
GCN models contain multiple layers of graph convolutions to exploit signals from higher …
GCN models contain multiple layers of graph convolutions to exploit signals from higher …
Recipe Recommendation Chatbot Based on Low FODMAP Dietary Knowledge Graph
S Turhan, MB Bacaksız - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Irritable Bowel Syndrome (IBS) is a prevalent gastrointestinal disorder, particularly prevalent
among the Turkish population. Those afflicted with this disease must adhere to a low …
among the Turkish population. Those afflicted with this disease must adhere to a low …
グラフニューラルネットワークを用いたコンテンツ推薦における知識表現の実証分析
齋藤悠貴, 江上周作, 清雄一, 田原康之… - 人工知能学会論文 …, 2024 - jstage.jst.go.jp
抄録 In recent years, entertainment content, such as movies, music, and anime, has been
gaining attention due tothe stay-at-home demand caused by the expansion of COVID-19. In …
gaining attention due tothe stay-at-home demand caused by the expansion of COVID-19. In …