123 citations · 140 across the 7 of their papers we have counts for
3 papers · 1 filter
Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty
Junyang Jiang, Deqing Yang, Yanghua Xiao +1
Most of existing embedding based recommendation models use embeddings (vectors) corresponding to a single fixed point in low-dimensional space, to represent users and items. Such e…
A Knowledge-Enhanced Recommendation Model with Attribute-Level Co-Attention
Deqing Yang, Zengcun Song, Lvxin Xue +1
Deep neural networks (DNNs) have been widely employed in recommender systems including incorporating attention mechanism for performance improvement. However, most of existing atte…
Incorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation
Wenjing Meng, Deqing Yang, Yanghua Xiao
Session-based recommendation (SR) has become an important and popular component of various e-commerce platforms, which aims to predict the next interacted item based on a given ses…