Using Tags and Latent Factors in a Food Recommender System.
Mouzhi GeMehdi ElahiIgnacio Fernández-TobíasFrancesco RicciDavid MassimoPublished in: Digital Health (2015)
Keyphrases
- latent factors
- recommender systems
- matrix factorization
- implicit feedback
- latent factor models
- collaborative filtering
- factor analysis
- user behavior
- user preferences
- eye tracking
- nonnegative matrix factorization
- negative matrix factorization
- web search
- tag recommendation
- information overload
- topic models
- latent variables
- user model
- contextual information
- personalized recommendation
- relevance judgments
- search result
- recommendation systems
- user interests
- user feedback
- keywords
- user profiles
- web pages
- search engine