activity
20202023
most citedIncorporating User Micro-behaviors and Item Knowledge into Multi-task Learning for Session-based Recommendation

123 citations · 140 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 4 cited

M3PT: A Multi-Modal Model for POI Tagging

Jingsong Yang, Guanzhou Han, Deqing Yang +5

POI tagging aims to annotate a point of interest (POI) with some informative tags, which facilitates many services related to POIs, including search, recommendation, and so on. Mos…

cs.CL2023★ 1 cited

Beneath Surface Similarity: Large Language Models Make Reasonable Scientific Analogies after Structure Abduction

Siyu Yuan, Jiangjie Chen, Xuyang Ge +2

The vital role of analogical reasoning in human cognition allows us to grasp novel concepts by linking them with familiar ones through shared relational structures. Despite the att…

cs.IR2022

Group Buying Recommendation Model Based on Multi-task Learning

Shuoyao Zhai, Baichuan Liu, Deqing Yang +1

In recent years, group buying has become one popular kind of online shopping activity, thanks to its larger sales and lower unit price. Unfortunately, research seldom focuses on re…

cs.IR2022★ 1 cited

Factorial User Modeling with Hierarchical Graph Neural Network for Enhanced Sequential Recommendation

Lyuxin Xue, Deqing Yang, Yanghua Xiao

Most sequential recommendation (SR) systems employing graph neural networks (GNNs) only model a user's interaction sequence as a flat graph without hierarchy, overlooking diverse f…

cs.IR2020

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…

cs.IR2020★ 11 cited

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…