特征融合与分发的多专家并行推荐算法框架

杨哲,葛洪伟,李婷

Framework of feature fusion and distribution with mixture of experts for parallel recommendation algorithm

Zhe YANG,Hong-wei GE,Ting LI

表 4 SOTA并行架构模型使用ME-PRAF后在3个数据集上的性能比较

Tab.4 Performance comparison of SOTA parallel architecture models after using ME-PRAF on three datasets

模型 Criteo Avazu MovieLens-1M AUC LogLoss AUC LogLoss AUC LogLoss DCN 0.8099 0.4419 0.7905 0.3744 0.8935 0.3197 DCNME 0.8116 0.4403 0.7919 0.3731 0.8962 0.3174 AutoInt+ 0.8083 0.4434 0.7774 0.3811 0.8488 0.3753 AutoInt+ME 0.8104 0.4414 0.7899 0.3737 0.8928 0.3250 DCN-v2 0.8115 0.4406 0.7907 0.3742 0.8964 0.3160 DCN-v2ME 0.8122 0.4398 0.7928 0.3732 0.8970 0.3163