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Guibing Guo

Fusion and Alignment Enhancement with Large Language Models for Tail-item Sequential Recommendation
Pay Attention to Sequence Split：Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models
Modelling Temporal Dynamics and Repeated Behaviors for Recommendation
Multi-facet User Preference Learning for Fine-grained Item Recommendation
Research Commentary on Recommendations with Side Information: A Survey and Research Directions
BPRH: Bayesian Personalized Ranking for Heterogeneous Implicit Feedback
A Unified Latent Factor Model for Effective Category-Aware Recommendation
Learning Hierarchical Category Influence on both Users and Items for Effective Recommendation
Effective Recommendation with Category Hierarchy
TBPR: Trinity Preference based Bayesian Personalized Ranking for Multivariate Implicit Feedback
Exploiting Implicit Item Relationships for Recommender Systems
LibRec: A Java Library for Recommender Systems

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