Hamur: Hyper adapter for multi-domain recommendation
Multi-Domain Recommendation (MDR) has gained significant attention in recent years,
which leverages data from multiple domains to enhance their performance concurrently …
which leverages data from multiple domains to enhance their performance concurrently …
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate …
J Li, G Zhang - Proceedings of the 32nd ACM International …, 2023 - dl.acm.org
Spatial-temporal information has been proven to be of great significance for click-through
rate prediction tasks in online Location-Based Services (LBS), especially in mainstream food …
rate prediction tasks in online Location-Based Services (LBS), especially in mainstream food …
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation
Online to offline recommendation strongly correlates with the user and service's
spatiotemporal information, therefore calling for a higher degree of model personalization …
spatiotemporal information, therefore calling for a higher degree of model personalization …
Enhanced Efficiency and Security in Cross-Chain Transmission of Blockchain Internet of Ports through Multi-Feature-Based Joint Learning
Z Xie, X Zhang, X Liu - 2024 - researchsquare.com
To enhance the timeliness of cross-chain transmission (CCT) in port blockchain Internet of
Things (IoT), this study proposes a load adaptive control method tailored for CCT within port …
Things (IoT), this study proposes a load adaptive control method tailored for CCT within port …