A probabilistic model for recommending to new cold-start non-registered users.
Antonio HernandoJesús BobadillaFernando OrtegaAbraham GutiérrezPublished in: Inf. Sci. (2017)
Keyphrases
- cold start
- recommender systems
- collaborative filtering
- cold start problem
- probabilistic model
- user ratings
- data sparsity
- implicit feedback
- tag recommendation
- personalized recommendation
- user preferences
- bayesian networks
- user interests
- matrix factorization
- recommendation algorithms
- language model
- user profiles
- user model
- eye tracking
- recommendation systems
- transfer learning
- end users
- user interface
- information retrieval
- user feedback
- user interaction
- data sparseness