346 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shenzhen UniversityCN44 papers
- Chinese Academy of SciencesCN28 papers
- Southern University of Science and TechnologyCN19 papers
- Peking UniversityCN18 papers
- University of Chinese Academy of SciencesCN14 papers
- Tsinghua UniversityCN11 papers
- City University of Hong KongHK9 papers
- Institute of Applied Physics and Computational MathematicsCN9 papers
- Ping An (China)9 papers
- Shanxi UniversityCN8 papers
- Shenzhen Institutes of Advanced TechnologyCN8 papers
- University of Science and Technology of ChinaCN8 papers
8 papers · 1 filter
Detecting Miscitation on the Scholarly Web through LLM-Augmented Text-Rich Graph Learning
Huidong Wu, Haojia Xiang, Jingtong Gao +3
Scholarly web is a vast network of knowledge connected by citations. However, this system is increasingly compromised by miscitation, where references do not support or even contra…
Automated Information Flow Selection for Multi-scenario Multi-task Recommendation
Chaohua Yang, Dugang Liu, Shiwei Li +6
Multi-scenario multi-task recommendation (MSMTR) systems must address recommendation demands across diverse scenarios while simultaneously optimizing multiple objectives, such as c…
LOVO: Efficient Complex Object Query in Large-Scale Video Datasets
Yuxin Liu, Yuezhang Peng, Hefeng Zhou +6
The widespread deployment of cameras has led to an exponential increase in video data, creating vast opportunities for applications such as traffic management and crime surveillanc…
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Ziqiang Cui, Yunpeng Weng, Xing Tang +4
In recent years, the introduction of knowledge graphs (KGs) has significantly advanced recommender systems by facilitating the discovery of potential associations between items. Ho…
A Survey on Cross-Domain Sequential Recommendation
Shu Chen, Zitao Xu, Weike Pan +2
Cross-domain sequential recommendation (CDSR) shifts the modeling of user preferences from flat to stereoscopic by integrating and learning interaction information from multiple do…
A Survey on Multi-Behavior Sequential Recommendation
Xiaoqing Chen, Zhitao Li, Weike Pan +1
Recommender systems is set up to address the issue of information overload in traditional information retrieval systems, which is focused on recommending information that is of mos…
A Heterogeneous Information Network based Cross Domain Insurance Recommendation System for Cold Start Users
Ye Bi, Liqiang Song, Mengqiu Yao +3
Internet is changing the world, adapting to the trend of internet sales will bring revenue to traditional insurance companies. Online insurance is still in its early stages of deve…
DCDIR: A Deep Cross-Domain Recommendation System for Cold Start Users in Insurance Domain
Ye Bi, Liqiang Song, Mengqiu Yao +3
Internet insurance products are apparently different from traditional e-commerce goods for their complexity, low purchasing frequency, etc.So, cold start problem is even worse. In…