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Recommender Systems

343 papers

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Papers

Personalized Reward Learning with Interaction-Grounded Learning (IGL) ICLR 2023 Practical Cross-System Shilling Attacks with Limited Access to Data AAAI 2023 Propensity Matters: Measuring and Enhancing Balancing for Recommendation ICML 2023 Query-Aware Quantization for Maximum Inner Product Search AAAI 2023 Reinforced Target-driven Conversational Promotion EMNLP 2023 Representer Point Selection for Explaining Regularized High-dimensional Models ICML 2023 Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective AAAI 2023 Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems EMNLP 2023 SciLit: A Platform for Joint Scientific Literature Discovery, Summarization and Citation Generation ACL 2023 Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation AAAI 2023 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems AAAI 2023 Submodular Maximization under the Intersection of Matroid and Knapsack Constraints AAAI 2023 TADI: Topic-aware Attention and Powerful Dual-encoder Interaction for Recall in News Recommendation EMNLP 2023 Transformer-based Prediction of Emotional Reactions to Online Social Network Posts ACL 2023 UniTRec: A Unified Text-to-Text Transformer and Joint Contrastive Learning Framework for Text-based Recommendation ACL 2023 Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023 Using Learning Analytics for Adaptive Exercise Generation ACL 2023 VIP5: Towards Multimodal Foundation Models for Recommendation EMNLP 2023 A Sentiment and Emotion Annotated Dataset for Bitcoin Price Forecasting Based on Reddit Posts EMNLP 2022 Boosting Deep CTR Prediction with a Plug-and-Play Pre-trainer for News Recommendation COLING 2022 Conditional Collaborative Filtering Process for Top-K Recommender System (Student Abstract) AAAI 2022 Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces ICML 2022 Cross-Task Knowledge Distillation in Multi-Task Recommendation AAAI 2022 Data-Driven Real-Time Strategic Placement of Mobile Vaccine Distribution Sites AAAI 2022 DialMed: A Dataset for Dialogue-based Medication Recommendation COLING 2022