10 citations · 20 across the 5 of their papers we have counts for
5 papers
Modeling User Intent Beyond Trigger: Incorporating Uncertainty for Trigger-Induced Recommendation
Jianxing Ma, Zhibo Xiao, Luwei Yang +5
To cater to users' desire for an immersive browsing experience, numerous e-commerce platforms provide various recommendation scenarios, with a focus on Trigger-Induced Recommendati…
On Practical Diversified Recommendation with Controllable Category Diversity Framework
Tao Zhang, Luwei Yang, Zhibo Xiao +2
Recommender systems have made significant strides in various industries, primarily driven by extensive efforts to enhance recommendation accuracy. However, this pursuit of accuracy…
Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
Zhibo Xiao, Luwei Yang, Tao Zhang +3
The recommendation has been playing a key role in many industries, e.g., e-commerce, streaming media, social media, etc. Recently, a new recommendation scenario, called Trigger-Ind…
Multiplex Bipartite Network Embedding using Dual Hypergraph Convolutional Networks
Hansheng Xue, Luwei Yang, Vaibhav Rajan +3
A bipartite network is a graph structure where nodes are from two distinct domains and only inter-domain interactions exist as edges. A large number of network embedding methods ex…
Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
Hansheng Xue, Luwei Yang, Wen Jiang +3
Network embedding aims to learn low-dimensional representations of nodes while capturing structure information of networks. It has achieved great success on many tasks of network a…