Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Context Tree for Adaptive Session-based Recommendation
Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks
Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit
Ensemble contextual bandits for personalized recommendation
Context-Aware Recommender Systems for Implicit Data
3D Convolutional Networks for Session-based Recommendation with Content Features
Contextual Sequence Modeling for Recommendation with Recurrent Neural Networks
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems
Action-conditional Sequence Modeling for Recommendation
A Deep Joint Network for Session-based News Recommendations with Contextual Augmentation
A Context-Aware User-Item Representation Learning for Item Recommendation
Context-Aware Recommender System: A Review of Recent Developmental Process and Future Research Direction
Mining Mobile User Preferences for Personalized Context-Aware Recommendation
Hierarchical collaborative embedding for context-aware recommendations
Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts
CSAN: Contextual Self-Attention Network for User Sequential Recommendation
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users
Improving Recommender Systems by Incorporating Social Contextual Information
Context-Aware Movie Recommendations: An Empirical Comparison of Pre-Filtering, Post-Filtering and Contextual Modeling Approaches
Sequential User-based Recurrent Neural Network Recommendations
SIEM implementation for global and distributed environments
Adaptive backstepping control scheme with integral action for quanser 2-dof helicopter
Topical pregabalin and diclofenac for the treatment of neuropathic orofacial pain in rats.
Gibbs Sampling Methods for Stick-Breaking Priors
Adaptive subgradient methods for online learning and stochastic optimization