recommendation system

HCFRec: Hash Collaborative Filtering via Normalized Flow with Structural Consensus for Efficient Recommendation IJCAI 2022 Infinite Recommendation Networks: A Data-Centric Approach NeurIPS 2022 KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph Embeddings COLING 2022 Learning from a Learning User for Optimal Recommendations ICML 2022 Learning the Optimal Recommendation from Explorative Users AAAI 2022 Learning When and What to Quote: A Quotation Recommender System with Mutual Promotion of Recommendation and Generation EMNLP 2022 Linear Bandit Algorithms with Sublinear Time Complexity ICML 2022 Low-Pass Graph Convolutional Network for Recommendation AAAI 2022 Multi-Armed Bandit Problem with Temporally-Partitioned Rewards: When Partial Feedback Counts IJCAI 2022 Multi-slots Online Matching with High Entropy ICML 2022 Norm-Agnostic Linear Bandits AISTATS 2022 Obtaining Calibrated Probabilities with Personalized Ranking Models AAAI 2022 SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation AAAI 2022 The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm NeurIPS 2022 The trade-offs of model size in large recommendation models : 100GB to 10MB Criteo-tb DLRM model NeurIPS 2022 A General Offline Reinforcement Learning Framework for Interactive Recommendation AAAI 2021 A Hybrid Bandit Framework for Diversified Recommendation AAAI 2021 Approximation algorithm for submodular maximization under submodular cover UAI 2021 Contextual Recommendations and Low-Regret Cutting-Plane Algorithms NeurIPS 2021 CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021 Curriculum Disentangled Recommendation with Noisy Multi-feedback NeurIPS 2021 DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational Recommendation EMNLP 2021 Dynamic Popularity-Aware Contrastive Learning for Recommendation ACML 2021 Extending Neural Keyword Extraction with TF-IDF tagset matching EACL 2021 Fairness of Exposure in Stochastic Bandits ICML 2021