Integrating Ontologies and Fuzzy Logic to Represent User-Trustworthiness in Recommender Systems.
Carlos PorcelCarmen Martínez-CruzJuan Bernabé-MorenoÁlvaro Tejeda-LorenteEnrique Herrera-ViedmaPublished in: ITQM (2015)
Keyphrases
- recommender systems
- fuzzy logic
- collaborative filtering
- user preferences
- user profiles
- user profiling
- neural network
- recommendation quality
- cold start problem
- user model
- soft computing
- user feedback
- recommendation systems
- domain specific
- user modeling
- information overload
- semantic web technologies
- matrix factorization
- user interests
- content based filtering
- user interface
- knowledge base
- databases
- recommendation algorithms
- trust propagation
- collaborative filtering recommender systems
- user interaction
- semantic web
- fuzzy sets
- computational intelligence
- web search
- decision making
- membership functions
- rough sets
- implicit feedback
- user ratings
- intelligent control
- product recommendation
- relevance feedback
- knowledge representation
- artificial intelligence