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Recommender Systems

343 papers

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Papers

Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation EMNLP 2024 Transforming Recommender Systems: Balancing Personalization, Fairness, and Human Values IJCAI 2024 User Embedding Model for Personalized Language Prompting EACL 2024 VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation AAAI 2024 Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024 Your Career Path Matters in Person-Job Fit AAAI 2024 An Improved Approximation Algorithm for Wage Determination and Online Task Allocation in Crowd-Sourcing AAAI 2023 Blending Advertising with Organic Content in E-commerce via Virtual Bids AAAI 2023 Causal Matrix Completion COLT 2023 Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue EMNLP 2023 Cookie Consent Has Disparate Impact on Estimation Accuracy NeurIPS 2023 CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU AAAI 2023 DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions ACL 2023 Domain Generalization via Switch Knowledge Distillation for Robust Review Representation ACL 2023 Dynamic Open-book Prompt for Conversational Recommender System EMNLP 2023 Embedding Mental Health Discourse for Community Recommendation ACL 2023 Evaluating Digital Agriculture Recommendations with Causal Inference AAAI 2023 Fair Representation Learning for Recommendation: A Mutual Information Perspective AAAI 2023 Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract) AAAI 2023 Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution ICLR 2023 Interactive Learning with Pricing for Optimal and Stable Allocations in Markets AISTATS 2023 LANCER: A Lifetime-Aware News Recommender System AAAI 2023 Mem-Rec: Memory Efficient Recommendation System using Alternative Representation ACML 2023 Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective NeurIPS 2023 Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023