3 papers
cs.IR2024
DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation
Heyuan Huang, Xingyu Lou, Chaochao Chen +5
Cross-Domain Recommendation (CDR) have received widespread attention due to their ability to utilize rich information across domains. However, most existing CDR methods assume an i…
cs.CR2024
Voltran: Unlocking Trust and Confidentiality in Decentralized Federated Learning Aggregation
Hao Wang, Yichen Cai, Jun Wang +4
The decentralized Federated Learning (FL) paradigm built upon blockchain architectures leverages distributed node clusters to replace the single server for executing FL model aggre…
cs.LG2024
HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction
Xingyu Lou, Yu Yang, Kuiyao Dong +5
As the recommendation service needs to address increasingly diverse distributions, such as multi-population, multi-scenario, multitarget, and multi-interest, more and more recent w…