Recommender Systems

Interactive Learning with Pricing for Optimal and Stable Allocations in Markets AISTATS 2023 Is GPT-4 a Good Data Analyst? EMNLP 2023 Knowledge-Grounded Natural Language Recommendation Explanation EMNLP 2023 KuaiSim: A Comprehensive Simulator for Recommender Systems NeurIPS 2023 LANCER: A Lifetime-Aware News Recommender System AAAI 2023 Language-Guided Music Recommendation for Video via Prompt Analogies CVPR 2023 Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets EMNLP 2023 Learning to Rank Utterances for Query-Focused Meeting Summarization ACL 2023 Lending Interaction Wings to Recommender Systems with Conversational Agents NeurIPS 2023 Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective NeurIPS 2023 Modeling content creator incentives on algorithm-curated platforms ICLR 2023 Multi-behavior Session-based Recommendation via Graph Reinforcement Learning ACML 2023 Multimodal Recommendation Dialog with Subjective Preference: A New Challenge and Benchmark ACL 2023 Multiple Robust Learning for Recommendation AAAI 2023 Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning AAAI 2023 NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation EMNLP 2023 Next POI Recommendation with Dynamic Graph and Explicit Dependency AAAI 2023 Online Low Rank Matrix Completion ICLR 2023 On the Cost of Demographic Parity in Influence Maximization AAAI 2023 Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023 Optimal Pricing Schemes for Identical Items with Time-Sensitive Buyers AAAI 2023 Pairwise Ranking Losses of Click-Through Rates Prediction for Welfare Maximization in Ad Auctions ICML 2023 Partial Matrix Completion NeurIPS 2023 Performative Recommendation: Diversifying Content via Strategic Incentives ICML 2023 PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023