An evolutionary approach for combining results of recommender systems techniques based on Collaborative Filtering.
Edjalma Q. da SilvaCelso G. Camilo-JuniorLuiz Mario L. PascoalThierson Couto RosaPublished in: IEEE Congress on Evolutionary Computation (2014)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- user preferences
- data sparsity
- recommendation quality
- cold start problem
- information filtering
- recommendation systems
- item based collaborative filtering
- netflix prize
- probabilistic matrix factorization
- user interests
- user profiling
- online dating
- collaborative filtering algorithms
- recommendation algorithms
- personalized recommendation
- cold start
- product recommendation
- user item rating
- information overload
- user model
- user profiles
- semi supervised
- similarity measure
- information retrieval
- implicit feedback
- user modeling
- personal preferences
- prediction accuracy
- rating prediction
- trust aware
- deal with information overload
- neural network