A flexible semantic inference methodology to reason about user preferences in knowledge-based recommender systems.
Yolanda Blanco-FernándezJosé Juan Pazos-AriasAlberto Gil-SollaManuel Ramos CabrerMartín López NoresJorge García DuqueAna Fernández VilasRebeca P. Díaz RedondoJesús Bermejo MuñozPublished in: Knowl. Based Syst. (2008)
Keyphrases
- user preferences
- recommender systems
- collaborative filtering
- user profiles
- user behavior
- information filtering
- user behaviour
- product recommendation
- recommendation systems
- user feedback
- matrix factorization
- user interests
- collaborative recommendation
- hierarchical task networks
- preference models
- content based filtering
- data sparsity
- recommendation algorithms
- information overload
- user model
- expert systems
- user specific
- cold start problem
- domain independent
- web search engines
- preference model
- bayesian inference