41 citations · 43 across the 4 of their papers we have counts for
4 papers
Enabling Explainable Recommendation in E-commerce with LLM-powered Product Knowledge Graph
Menghan Wang, Yuchen Guo, Duanfeng Zhang +4
How to leverage large language model's superior capability in e-commerce recommendation has been a hot topic. In this paper, we propose LLM-PKG, an efficient approach that distills…
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion
Menghan Wang, Jinming Yang, Yuchen Guo +3
User post-click conversion prediction is of high interest to researchers and developers. Recent studies employ multi-task learning to tackle the selection bias and data sparsity pr…
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning
Menghan Wang, Yuchen Guo, Zhenqi Zhao +4
Binary pointwise labels (aka implicit feedback) are heavily leveraged by deep learning based recommendation algorithms nowadays. In this paper we discuss the limited expressiveness…
Zero-shot Node Classification with Decomposed Graph Prototype Network
Zheng Wang, Jialong Wang, Yuchen Guo +1
Node classification is a central task in graph data analysis. Scarce or even no labeled data of emerging classes is a big challenge for existing methods. A natural question arises:…