Evaluating collaborative filtering recommendations inside large learning object repositories.
Cristian CechinelMiguel-Ángel SiciliaSalvador Sánchez-AlonsoElena García BarriocanalPublished in: Inf. Process. Manag. (2013)
Keyphrases
- collaborative filtering
- learning object repositories
- recommender systems
- making recommendations
- learning objects
- user preferences
- collaborative filtering algorithms
- recommendation quality
- personalized recommendation
- recommendation systems
- cold start problem
- cold start
- content based filtering
- recommendation algorithms
- online dating
- user ratings
- matrix factorization
- demographic information
- product recommendation
- hybrid recommendation
- data sparsity
- learning management systems
- collaborative filtering recommendation
- latent factor models
- educational resources
- collaborative recommendation
- learning resources
- active user
- user similarity
- metadata records
- digital resources
- user behavior
- learning object metadata
- learning process
- e learning
- learning strategies
- learning activities
- online learning