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conftrace_

recommendation system

305 papers

RECSYS RS

Papers

Fast Offline Policy Optimization for Large Scale Recommendation AAAI 2023 Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation IJCAI 2023 FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction AAAI 2023 GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System IJCAI 2023 Guided Recommendation for Model Fine-Tuning CVPR 2023 How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023 Interactive Learning with Pricing for Optimal and Stable Allocations in Markets AISTATS 2023 Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement ICML 2023 Mem-Rec: Memory Efficient Recommendation System using Alternative Representation ACML 2023 MLFMF: Data Sets for Machine Learning for Mathematical Formalization NeurIPS 2023 Multiple Robust Learning for Recommendation AAAI 2023 Multi-Task Off-Policy Learning from Bandit Feedback ICML 2023 Optimal Algorithms for Latent Bandits with Cluster Structure AISTATS 2023 REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths NeurIPS 2023 Reinforcement Learning with History Dependent Dynamic Contexts ICML 2023 REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation AAAI 2023 Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach NeurIPS 2023 Scaling Law for Recommendation Models: Towards General-Purpose User Representations AAAI 2023 StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random ICLR 2023 UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition NeurIPS 2023 AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society IJCAI 2022 A Spectral Approach to Item Response Theory NeurIPS 2022 Batched Dueling Bandits ICML 2022 Frequency-aware SGD for Efficient Embedding Learning with Provable Benefits ICLR 2022 Harmless Transfer Learning for Item Embeddings NAACL 2022