Home
News
People
Publications
Contact
Jie Zhang
Latest
Reinforcement Speculative Decoding for Fast Ranking
Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share
Enhancing New-item Fairness in Dynamic Recommender Systems
Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
Configurable Fairness for New Item Recommendation Considering Entry Time of Items
Disentangled Multi-interest Representation Learning for Sequential Recommendation
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation
Unified Denoising Training for Recommendation
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction
Conversation-based Adaptive Relational Translation Method for Next POI Recommendation with Uncertain Check-ins
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preference
Who Wants to Shop with You: Joint Product-Participant Recommendation for Group-Buying Service
Disentangling Multi-facet Social Relations for Recommendation
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Point-of-Interest Recommendation for Users-Businesses with Uncertain Check-ins
An Attentional Recurrent Neural Network for Personalized Next Location Recommendation
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison
Modeling Hierarchical Category Transition for Next POI Recommendation with Uncertain Check-ins
Modeling Heterogeneous Influences for Point-of-Interest Recommendation in Location-Based Social Networks
Research Commentary on Recommendations with Side Information: A Survey and Research Directions
BPRH: Bayesian Personalized Ranking for Heterogeneous Implicit Feedback
Recurrent Knowledge Graph Embedding for Effective Recommendation
A Unified Latent Factor Model for Effective Category-Aware Recommendation
Aspect-Aware Point-of-Interest Recommendation with Geo-Social Influence
Exploiting both Vertical and Horizontal Dimensions of Feature hierarchy for Effective Recommendation
Interactive Attention-Gated Recurrent Networks for Recommendation
Learning Hierarchical Category Influence on both Users and Items for Effective Recommendation
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation
Online Reputation Fraud Campaign Detection in User Ratings
Effective Recommendation with Category Hierarchy
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization
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
Cite
×
Join Us