Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation
Diversifying Personalized Recommendation with User-session Context
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling
Improving the accuracy of top-N recommendation using a preference model
Query-driven context aware recommendation
Multi-level preference regression for cold-start recommendations
Unified Point-of-Interest Recommendation with Temporal Interval Assessment
Memory-Based Weighted-Majority Prediction for Recommender Systems
Online Context-Aware Recommendation with Time Varying Multi-Armed Bandit
Leveraging Long and Short-term Information in Content-aware Movie Recommendation
Preference learning in recommender systems
OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms
STELLAR: spatial-temporal latent ranking for successive point-of-interest recommendation
Scalable Recommendation with Poisson Factorization
Learning Tree-based Deep Model for Recommender Systems
Attentive Aspect Modeling for Review-aware Recommendation
Partially Observable Markov Decision Process for Recommender Systems
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors
Dynamic Personalized Recommendation on Sparse Data
Modeling users' dynamic preference for personalized recommendation
Accurate and Diverse Recommendation based on Users' Tendencies toward Temporal Item Popularity
Online-updating regularized kernel matrix factorization models for large-scale recommender systems
Dual Linear Regression Based Classification for Face Cluster Recognition
Development and verification of tendon-driven rotary actuator for haptics with flexible actuators and a PE line
A Hybrid Microfluidic/CMOS Capacitive Sensor Dedicated to Lab-on-Chip Applications
A Right to Access Implies a Right to Know: An Open Online Platform for Research on the Readability of Law