Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: RUTICO: Recommending Successful Learning Paths Under Time Constraints
A Learning Design Recommendation System Based on Markov Decision Processes
Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning
Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval
A state-of-the-art review on scheduling with learning effects
Alternative Plan Generation and Online Preference Learning in Scheduling Individual Activities
Learning to rank for recommender systems
hybrid recommendation approach for learning material based on sequential pattern of the accessed material and the learner ' s preference tree .
Contracting, equal, and expanding learning schedules: The optimal distribution of learning sessions depends on retention interval
A Contextual Bandits Framework for Personalized Learning Action Selection
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation
Smart recommendation for an evolving e-learning system: architecture and experiment.
A proposed semantic recommendation system for e-learning: A rule and ontology based e-learning recommendation system
Retrieval Algorithms Optimized for Human Learning
Latent Skill Embedding for Personalized Lesson Sequence Recommendation
Learning to Learn
A User-Intelligent Adaptive Learning Model for Learning Management System Using Data Mining and Artificial Intelligence
Personalized click shaping through lagrangian duality for online recommendation
OntoSakai: On the optimization of a Learning Management System using semantics and user profiling
Document selection methodologies for efficient and effective learning-to-rank
EduRank: A Collaborative Filtering Approach to Personalization in E-learning
Industrial Internet: A Survey on the Enabling Technologies, Applications, and Challenges
Reinforcement Learning: An Introduction
Changes in Cannabis Potency Over the Last 2 Decades (1995–2014): Analysis of Current Data in the United States
Rank Entropy-Based Decision Trees for Monotonic Classification
A 0.5ps 1.4mW 50MS/s Nyquist bandwidth time amplifier based two-step flash-ΔΣ time-to-digital converter