Co-occurring keywords · papers mentioning both
Papers
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking
IJCAI 2017
Context Attentive Bandits: Contextual Bandit with Restricted Context
IJCAI 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
IJCAI 2017
Deep Learning at Alibaba
IJCAI 2017
Deep Matrix Factorization Models for Recommender Systems
IJCAI 2017
Disguise Adversarial Networks for Click-through Rate Prediction
IJCAI 2017
Diversifying Personalized Recommendation with User-session Context
IJCAI 2017
DropoutNet: Addressing Cold Start in Recommender Systems
NeurIPS 2017
Dynamic Collaborative Filtering With Compound Poisson Factorization
AISTATS 2017
Estimating Reactions and Recommending Products with Generative Models of Reviews
IJCNLP 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
NeurIPS 2017
Improved Bounded Matrix Completion for Large-Scale Recommender Systems
IJCAI 2017
Learning User Dependencies for Recommendation
IJCAI 2017
Life-Stage Modeling by Customer-Manifold Embedding
IJCAI 2017
Mixture-Rank Matrix Approximation for Collaborative Filtering
NeurIPS 2017
Opinion Recommendation Using A Neural Model
EMNLP 2017
PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems
ACML 2017
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems
IJCAI 2017
Recommendation vs Sentiment Analysis: A Text-Driven Latent Factor Model for Rating Prediction with Cold-Start Awareness
IJCAI 2017
Scalable Demand-Aware Recommendation
NeurIPS 2017
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
NeurIPS 2017
User-Based Opinion-based Recommendation
IJCAI 2017
Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design
ICML 2016
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions
NeurIPS 2016
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks
NeurIPS 2016