Recommender Systems

Bias Beware: The Impact of Cognitive Biases on LLM-Driven Product Recommendations EMNLP 2025 Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate AAAI 2025 Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation ACL 2025 Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System AAAI 2025 Calibrating Video Watch-time Predictions with Credible Prototype Alignment ICML 2025 CESRec: Constructing Pseudo Interactions for Sequential Recommendation via Conversational Feedback EMNLP 2025 CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation AAAI 2025 COGRASP: Co-Occurrence Graph Based Stock Price Forecasting IJCAI 2025 ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining ACL 2025 Contrastive Representation for Interactive Recommendation AAAI 2025 CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems AAAI 2025 Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation AAAI 2025 CreditLLM: Constructing Financial AI Assistant for Credit Products using Financial LLM and Few Data COLING 2025 CTR-Guided Generative Query Suggestion in Conversational Search EMNLP 2025 CUGF: A Reliable and Fair Recommendation Framework AAAI 2025 Curriculum Conditioned Diffusion for Multimodal Recommendation AAAI 2025 Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation ACL 2025 Decision-Aware Preference Modeling for Multi-Behavior Recommendation IJCAI 2025 Developing Generative Recommender Systems for Government Subsidy Pro-Grams with a New RQ-VAE Model: Wello & the Korean Government Case AAAI 2025 Deviation-based multiple coefficient item mixer for heterogeneous set-to-set matching ACML 2025 Diffusion Guided Propagation Augmentation for Popularity Prediction IJCAI 2025 Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations AAAI 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation AAAI 2025 Disentangled and Personalized Representation Learning for Next Point-of-Interest Recommendation IJCAI 2025 Disentangled Modeling of Preferences and Social Influence for Group Recommendation AAAI 2025