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add icml-21 recsys paper list

#40 juyongjiang closed 3 years ago
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[SIGIR`20] Next-item Recommendation with Sequential Hypergraphs

#39 Peiyance opened 3 years ago
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Inter-sequence Enhanced Framework for Personalized Sequential Recommendation

#38 Peiyance opened 3 years ago
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Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems

#37 Peiyance opened 3 years ago
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Multi-Step Adversarial Perturbations on Recommender Systems Embeddings

#36 Peiyance opened 3 years ago
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[WSDM ’20] Time Interval Aware Self-Attention for Sequential Recommendation

#35 russellkim opened 3 years ago
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[RecSys`20] MEANTIME: Mixture of Attention Mechanisms with Multi-Temporal Embeddings for Sequential Recommendation

#34 russellkim opened 3 years ago
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test4

#33 russellkim closed 3 years ago
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[KDD`20]GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

#32 Peiyance opened 3 years ago
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Deep Modeling of Social Relations for Recommendation

#31 xyq7 opened 3 years ago
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[WWW`20]MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

#30 Peiyance opened 3 years ago
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[CIKM`19]BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

#29 Peiyance opened 3 years ago
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[DLP-HDSD`19]Attention-based Mixture Density Recurrent Networks for History-based Recommendation

#28 Peiyance opened 3 years ago
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[arXiv`19]Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation

#27 Peiyance opened 3 years ago
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[ICMR'20] Multi-Graph Group Collaborative Filtering

#26 russellkim opened 3 years ago
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[WWW`19]Collaborative Similarity Embedding for Recommender Systems

#25 Peiyance opened 3 years ago
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[NeurlPS`19]Learning Disentangled Representations for Recommendation

#24 Peiyance opened 4 years ago
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[KDD`20] PinnerSage: Multi-Modal User Embedding Framework for Recommendations at Pinterest

#23 russellkim opened 4 years ago
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[KDD`20] Improving Recommendation Quality in Google Drive

#22 russellkim opened 4 years ago
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[KDD`20] Controllable Multi-Interest Framework for Recommendation

#21 russellkim opened 4 years ago
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[KDD`20] Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation

#20 russellkim opened 4 years ago
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[KDD`20] MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

#19 russellkim opened 4 years ago
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[KDD`20] Joint Policy-Value Learning for Recommendation

#18 russellkim opened 4 years ago
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[KDD`20] Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

#17 russellkim opened 4 years ago
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[KDD`20] Handling Information Loss of Graph Neural Networks for Session-based Recommendation

#16 russellkim opened 4 years ago
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[KDD`20] FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems

#15 russellkim opened 4 years ago
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[KDD`20] Dual Channel Hypergraph Collaborative Filtering

#14 russellkim opened 4 years ago
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[ECAI`20] Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation

#13 xyq7 opened 4 years ago
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[WSDM`20] Sequential Modeling of Hierarchical User Intention and Preference for Next-Item Recommendation

#12 xyq7 opened 4 years ago
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[KDD`20] Multitask Mixture of Sequential Experts for User Activity Streams

#11 russellkim opened 4 years ago
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[KDD`19] Heterogeneous Graph Neural Network

#10 russellkim opened 4 years ago
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[AAAI`19] Multi-Order Attentive Ranking Model for Sequential Recommendation

#9 russellkim opened 4 years ago
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[ICDM`16](FOSSIL) Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation

#8 russellkim opened 4 years ago
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[SIGIR`20] Rethinking Item Importance in Session-based Recommendation

#7 russellkim opened 4 years ago
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[KDD`20] PURS: Personalized Unexpected Recommender System for Improving User Satisfaction

#6 Peiyance opened 4 years ago
0
[RecSys`20] Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions

#5 russellkim opened 4 years ago
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[RecSys`20] Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems

#4 russellkim opened 4 years ago
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[RecSys'20] Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation

#3 russellkim opened 4 years ago
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[RecSys`20] Cascading Hybrid Bandits: Online Learning to Rank for Relevance and Diversity

#2 russellkim opened 4 years ago
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Generative Pretraining from Pixels

#1 xyq7 opened 4 years ago
4