Co-occurring keywords · papers mentioning both
Papers
Cornac: A Comparative Framework for Multimodal Recommender Systems
JMLR 2020
COVID-19: A Semantic-Based Pipeline for Recommending Biomedical Entities
EMNLP 2020
Deep Feedback Network for Recommendation
IJCAI 2020
Deep Match to Rank Model for Personalized Click-Through Rate Prediction
AAAI 2020
E-Commerce Content and Collaborative-based Recommendation using K-Nearest Neighbors and Enriched Weighted Vectors
COLING 2020
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation
AAAI 2020
Embedding Semantic Taxonomies
COLING 2020
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
IJCAI 2020
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
ICML 2020
Graph DNA: Deep Neighborhood Aware Graph Encoding for Collaborative Filtering
AISTATS 2020
Graph Neural News Recommendation with Unsupervised Preference Disentanglement
ACL 2020
Interactive Rare-Category-of-Interest Mining from Large Datasets
AAAI 2020
Item-based Collaborative Filtering with BERT
ACL 2020
Matrix Completion with Hierarchical Graph Side Information
NeurIPS 2020
Memory Augmented Graph Neural Networks for Sequential Recommendation
AAAI 2020
Multi-Component Graph Convolutional Collaborative Filtering
AAAI 2020
Multi-Feature Discrete Collaborative Filtering for Fast Cold-Start Recommendation
AAAI 2020
Online Matrix Completion with Side Information
NeurIPS 2020
Predicting Drug Sensitivity of Cancer Cell Lines via Collaborative Filtering with Contextual Attention
MLHC 2020
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering
ICLR 2020
Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
AAAI 2020
Symmetric Metric Learning with Adaptive Margin for Recommendation
AAAI 2020
Tensor denoising and completion based on ordinal observations
ICML 2020
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering
NeurIPS 2020
Unbiasing Review Ratings with Tendency Based Collaborative Filtering
AACL 2020