Research and Application of Customer Churn Analysis in Chain Retail Industry. - Chunhua Ju; Feipeng Guo (ISECS, 2008)

A novel e-commerce customer continuous purchase recommendation model research based on colony clustering. - Qibei Lu; Feipeng Guo (Int. J. Wirel. Mob. Comput., 2016)

Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern. - Liang Xiao; Feipeng Guo; Qibei Lu (Mob. Inf. Syst., 2018)

User-based collaborative filtering recommendation method combining with privacy concerns intensity in mobile commerce. - Qibei Lu; Feipeng Guo; Ruoyi Zhang (Int. J. Wirel. Mob. Comput., 2019)

A novel estimation model for user relationship intensity in social network. - Huijian Xu; Wanqiong Tao; Feipeng Guo (Int. J. Wirel. Mob. Comput., 2019)

Path extension similarity link prediction method based on matrix algebra in directed networks. - Feipeng Guo; Wei Zhou; Qibei Lu; Chen Zhang (Comput. Commun., 2022)

Mobile Social Recommendation Model Integrating Users' Personality Traits and Relationship Strength under Privacy Concerns. - Qibei Lu; Feipeng Guo; Wei Zhou; Zifan Wang; Shaobo Ji (Syst., 2022)

A link prediction method based on topological nearest-neighbors similarity in directed networks. - Feipeng Guo; Wei Zhou; Zifan Wang; Chunhua Ju; Shaobo Ji; Qibei Lu (J. Comput. Sci., 2023)

Dual-view multi-modal contrastive learning for graph-based recommender systems. - Feipeng Guo; Zifan Wang; Xiaopeng Wang; Qibei Lu; Shaobo Ji (Comput. Electr. Eng., 2024)

Joint friend and item recommendation based on multidimensional feature reciprocal interaction in social e-commerce. - Wei Zhou; Feipeng Guo; Huijian Xu; Zhaoxiang Wang (Electron. Commer. Res. Appl., 2024)

KEMB-Rec: Knowledge-Enhanced Explainable Multibehavior Recommendation With Graph Contrastive Learning. - Feipeng Guo; Zifan Wang (IEEE Internet Things J., 2025)