Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Mining Mobile User Preferences for Personalized Context-Aware Recommendation
Mining Personal Context-Aware Preferences for Mobile Users
Structural Analysis of User Choices for Mobile App Recommendation
Improving Recommender Systems by Incorporating Social Contextual Information
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges
Experimental comparison of pre- vs. post-filtering approaches in context-aware recommender systems
A Framework of a Personalized Location-based Traveler Recommendation System in Mobile Application
Context-Aware Sequential Recommendation
Contextual Model-Based Collaborative Filtering for Recommender Systems
Diversifying Personalized Recommendation with User-session Context
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users
Ensemble contextual bandits for personalized recommendation
User behaviour analysis in context-aware recommender system using hybrid filtering approach
STS: Design of Weather-Aware Mobile Recommender Systems in Tourism
A context-aware proactive recommender system for tourist
Getting to know you: learning new user preferences in recommender systems
A comparative study of user intention to recommend content on mobile social networks
A Model of User Preference Learning for Content-Based Recommender Systems
A web-based pervasive recommendation system for mobile tourist guides
RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes
Research on personalized recommendation based on web usage mining using collaborative filtering technique
Sensing meets mobile social networks: the design, implementation and evaluation of the CenceMe application
Bringing Deep Learning at the Edge of Information-Centric Internet of Things
GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs
Fear conditioning- and extinction-induced neuronal plasticity in the mouse amygdala
Measurement based V2V path loss analysis in urban NLOS scenarios