69 citations · 71 across the 2 of their papers we have counts for
3 papers
cs.IR2022★ 69 cited
Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering
Minghao Zhao, Le Wu, Yile Liang +7
Recent years have witnessed the great accuracy performance of graph-based Collaborative Filtering (CF) models for recommender systems. By taking the user-item interaction behavior…
cs.IR2022★ 2 cited
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
Muyang Li, Xiangyu Zhao, Chuan Lyu +3
Self-attention models have achieved state-of-the-art performance in sequential recommender systems by capturing the sequential dependencies among user-item interactions. However, t…
cs.CV2021
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer
Zhiyuan Wu, Yu Jiang, Minghao Zhao +4
Recent applications pose requirements of both cross-domain knowledge transfer and model compression to machine learning models due to insufficient training data and limited computa…