Utilizing Artificial Learners to Help Overcome the Cold-Start Problem in a Pedagogically-Oriented Paper Recommendation System.
Tiffany Ya TangGordon I. McCallaPublished in: AH (2004)
Keyphrases
- cold start problem
- recommender systems
- collaborative filtering
- learning processes
- personalized recommendation
- learning activities
- cold start
- learning scenarios
- data sparsity
- matrix factorization
- learning outcomes
- learning environment
- learning process
- e learning
- recommendation systems
- learning experience
- cognitive skills
- learning objects
- user interests
- user preferences
- information overload
- recommendation algorithms
- context aware
- machine learning
- implicit feedback
- information retrieval systems