Handling data sparsity via item metadata embedding into deep collaborative recommender system.
Gopal BeheraNeeta NainPublished in: J. King Saud Univ. Comput. Inf. Sci. (2022)
Keyphrases
- learning environment
- data sparsity
- recommender systems
- cold start problem
- metadata
- cold start
- collaborative filtering
- hybrid recommendation
- matrix factorization
- user preferences
- personalized recommendation
- user ratings
- digital libraries
- recommendation algorithms
- recommendation quality
- transfer learning
- user generated tags
- information overload
- user similarity
- user profiles
- collaborative learning
- databases
- user model
- learning objects
- product recommendation
- user feedback
- recommendation systems
- prediction accuracy
- web search
- collaborative filtering algorithms
- active user
- feature selection
- data sets