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Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation
Dynamic Experts Synergy for Multi-Task Recommendation
HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation
ONE-PASS: Single Forward Pass Decoding for Listwise Reranking
Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation
Reinforcement Speculative Decoding for Fast Ranking
Active Large Language Model-based Knowledge Distillation for Session-based Recommendation
Causal Deconfounding via Confounder Disentanglement for Dual-Target Cross-Domain Recommendation
COSTA: Contrastive Spatial and Temporal Debiasing Framework for Next POI Recommendation
Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share
Enhancing New-item Fairness in Dynamic Recommender Systems
KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems?
LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture
LLM4RSR: Large Language Models as Data Correctors for Robust Sequential Recommendation
Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation
PCDe: A Personalized Conversational Debiasing Framework for Next POI Recommendation with Uncertain Check-Ins
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
A New Era in Human Factors Engineering: A Survey of the Applications and Prospects of Large Multimodal Models
A Survey on Truth Discovery: Concepts, Methods, Applications and Opportunities
Adaptive In-Context Learning with Large Language Models for Bundle Generation
Adaptive Intention Learning for Session-based Recommendation
An Empirical Analysis on Multi-turn Conversational Recommender Systems
Breaking the Silence: Whisper-Driven Emotion Recognition in AI Mental Support Models
Configurable Fairness for New Item Recommendation Considering Entry Time of Items
Disentangled Multi-interest Representation Learning for Sequential Recommendation
Large Language Models for Intent-Driven Session Recommendations
Revisiting Bundle Recommendation for Intent-aware Product Bundling
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation
Unified Denoising Training for Recommendation
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation
A Multi-Channel Next POI Recommendation Framework with Multi-Granularity Check-in Signals
BERD+: A Novel Sequential Recommendation Framework For Combating Unreliable Data
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction
Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation
Meta-Learning Enhance Next POI Recommendation with Auxiliary Cities
Purpose tendency-aware diversified strategy for effective session-based recommendation
Theoretically Guaranteed Bidirectional Data Rectification for Robust Sequential Recommendation
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects
Understanding Diversity in Session-based Recommendation
Attention over Self-attention: Dynamic Re-ranking with User Intentions for Recommendation
Conversation-based Adaptive Relational Translation Method for Next POI Recommendation with Uncertain Check-ins
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Importance Prioritized Policy Distillation
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preference
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
Synthesizing Audio Adversarial Examples for Automatic Speech Recognition
Who Wants to Shop with You: Joint Product-Participant Recommendation for Group-Buying Service
Adversary Agnostic Robust Deep Reinforcement Learning
Disentangling Multi-facet Social Relations for Recommendation
Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data
Hierarchical Attentive Knowledge Graph Embedding for Personalized Recommendation
Point-of-Interest Recommendation for Users-Businesses with Uncertain Check-ins
Top-aware Recommender Distillation with Deep Reinforcement Learning
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
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy
Modeling Hierarchical Category Transition for Next POI Recommendation with Uncertain Check-ins
Modelling Temporal Dynamics and Repeated Behaviors for Recommendation
Multi-facet User Preference Learning for Fine-grained Item Recommendation
Exploiting Side Information for Recommendation
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
Exploiting Item and User Relationships for Recommender Systems
LibRec: A Java Library for Recommender Systems
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