Clustering Learning Objects for Improving Their Recommendation via Collaborative Filtering Algorithms.
Henrique Lemos dos SantosCristian CechinelRicardo Matsumura de AraújoMiguel-Ángel SiciliaPublished in: MTSR (2015)
Keyphrases
- learning objects
- collaborative filtering algorithms
- collaborative filtering
- recommender systems
- data sparsity
- learning activities
- learning resources
- learning process
- authoring tool
- user preferences
- learning materials
- e learning
- learning object repositories
- metadata
- learning object metadata
- matrix factorization
- learning content
- learning management systems
- recommendation algorithms
- user ratings
- cold start
- educational resources
- metadata standards
- personalized recommendation
- semantic metadata
- data points
- repositories of learning objects
- recommendation systems
- transfer learning
- mobile learning
- learning systems