An ontology-based hybrid e-learning content recommender system for alleviating the cold-start problem.
Jeevamol JoyV. G. RenumolPublished in: Educ. Inf. Technol. (2021)
Keyphrases
- cold start problem
- recommender systems
- e learning
- collaborative filtering
- cold start
- matrix factorization
- data sparsity
- user generated content
- collaborative recommendation
- multimedia
- user interests
- personalized recommendation
- user experience
- user preferences
- information overload
- user model
- user generated
- learning objects
- web content
- user profiles
- text classification
- data sparseness
- web search
- training data