Co-occurring keywords · papers mentioning both
Papers
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
ICML 2022
Recommender Forest for Efficient Retrieval
NeurIPS 2022
Regularized and Smooth Double Core Tensor Factorization for Heterogeneous Data
JMLR 2022
Revisiting Injective Attacks on Recommender Systems
NeurIPS 2022
SMINet: State-Aware Multi-Aspect Interests Representation Network for Cold-Start Users Recommendation
AAAI 2022
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
NeurIPS 2022
Text-Based Interactive Recommendation via Offline Reinforcement Learning
AAAI 2022
Towards Return Parity in Markov Decision Processes
AISTATS 2022
What Factors Should Paper-Reviewer Assignments Rely On? Community Perspectives on Issues and Ideals in Conference Peer-Review
NAACL 2022
3D-FRONT: 3D Furnished Rooms With layOuts and semaNTics
ICCV 2021
AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System
IJCAI 2021
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems
AAAI 2021
Correcting Exposure Bias for Link Recommendation
ICML 2021
Cross-Domain Recommendation: Challenges, Progress, and Prospects
IJCAI 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
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
ICML 2021
Dynamic Popularity-Aware Contrastive Learning for Recommendation
ACML 2021
Dynamic Tensor Recommender Systems
JMLR 2021