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MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems
Multi-scenario recommender systems (MSRSs) have been increasingly used in real-world
industrial platforms for their excellent advantages in mitigating data sparsity and reducing …
industrial platforms for their excellent advantages in mitigating data sparsity and reducing …
Hybrid contrastive multi-scenario learning for multi-task sequential-dependence recommendation
Q Yi, L Wu, J Tang, Y Zeng, Z Song - Neural Networks, 2025 - Elsevier
Multi-scenario and multi-task learning are crucial in industrial recommendation systems to
deliver high-quality recommendations across diverse scenarios with minimal computational …
deliver high-quality recommendations across diverse scenarios with minimal computational …
Adaptive: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling
ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
C Hou, Y Zhou, Y Cao, T Liu - Proceedings of the 47th International ACM …, 2024 - dl.acm.org
In industrial recommendation systems, there are several mini-apps designed to meet the
diverse interests and needs of users. The sample space of them is merely a small subset of …
diverse interests and needs of users. The sample space of them is merely a small subset of …