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Recommender Systems

1,097 papers

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Papers

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024 Online Matrix Completion: A Collaborative Approach with Hott Items ICML 2024 On Online Experimentation without Device Identifiers ICML 2024 On Overcoming Miscalibrated Conversational Priors in LLM-based ChatBots UAI 2024 On Softmax Direct Preference Optimization for Recommendation NeurIPS 2024 On the Embedding Collapse when Scaling up Recommendation Models ICML 2024 Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems AAAI 2024 Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset ACL 2024 PEARL: Preference Extraction with Exemplar Augmentation and Retrieval with LLM Agents EMNLP 2024 PepRec: Progressive Enhancement of Prompting for Recommendation EMNLP 2024 PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning ACML 2024 Plug-In Diffusion Model for Sequential Recommendation AAAI 2024 Polos: Multimodal Metric Learning from Human Feedback for Image Captioning CVPR 2024 Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation AAAI 2024 Pre-training General User Representation with Multi-type APP Behaviors IJCAI 2024 Private Learning with Public Features AISTATS 2024 Recommending Missed Citations Identified by Reviewers: A New Task, Dataset and Baselines COLING 2024 RecomMind: Movie Recommendation Dialogue with Seeker’s Internal State EMNLP 2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation ICML 2024 Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering ICML 2024 RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction UAI 2024 Review-Enhanced Hierarchical Contrastive Learning for Recommendation AAAI 2024 RRL: Recommendation Reverse Learning AAAI 2024 Sequential LLM Framework for Fashion Recommendation EMNLP 2024 Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought IJCAI 2024