Using Bibliometrics and Fuzzy Linguistic Modeling to Deal with Cold Start in Recommender Systems for Digital Libraries.
Álvaro Tejeda-LorenteJuan Bernabé-MorenoCarlos PorcelEnrique Herrera-ViedmaPublished in: EUSFLAT/IWIFSGN (3) (2017)
Keyphrases
- recommender systems
- cold start
- digital libraries
- cold start problem
- fuzzy linguistic
- collaborative filtering
- data sparsity
- matrix factorization
- group decision making
- personalized recommendation
- database querying
- tag recommendation
- user ratings
- item based collaborative filtering
- implicit feedback
- recommendation algorithms
- web search
- information overload
- recommendation systems
- data sparseness
- user preferences
- user profiles
- logic programs
- knowledge representation