Recommender Systems
1,097 papers
Papers per year
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Papers
3D-FRONT: 3D Furnished Rooms With layOuts and semaNTics
ICCV 2021
A/B Testing for Recommender Systems in a Two-sided Marketplace
NeurIPS 2021
Adversarial Combinatorial Bandits with General Non-linear Reward Functions
ICML 2021
A Gang of Adversarial Bandits
NeurIPS 2021
A General Offline Reinforcement Learning Framework for Interactive Recommendation
AAAI 2021
A Reciprocal Embedding Framework For Modelling Mutual Preferences
AAAI 2021
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems
AAAI 2021
A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models
AAAI 2021
Collaborative Data Relabeling for Robust and Diverse Voice Apps Recommendation in Intelligent Personal Assistants
EMNLP 2021
Contextual Recommendations and Low-Regret Cutting-Plane Algorithms
NeurIPS 2021
Correcting Exposure Bias for Link Recommendation
ICML 2021
Cross-Domain Recommendation: Challenges, Progress, and Prospects
IJCAI 2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
ACL 2021
CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation
EMNLP 2021
Curriculum Disentangled Recommendation with Noisy Multi-feedback
NeurIPS 2021
DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation
IJCAI 2021
DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems
AAAI 2021
Deep Learning for Click-Through Rate Estimation
IJCAI 2021
Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems
AAAI 2021
Degree Planning with PLAN-BERT: Multi-Semester Recommendation Using Future Courses of Interest
AAAI 2021
Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract)
AAAI 2021
Detecting Beneficial Feature Interactions for Recommender Systems
AAAI 2021
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation
IJCAI 2021
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
ICML 2021
Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data
IJCAI 2021