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: Expert Syst. Appl. (2016)
Keyphrases
- evolutionary algorithm
- recommender systems
- collaborative filtering
- fitness function
- matrix factorization
- cold start problem
- information overload
- data sparsity
- information filtering
- genetic programming
- genetic algorithm
- recommendation quality
- user preferences
- personalized recommendation
- latent factor models
- content based filtering
- implicit feedback
- recommendation systems
- collaborative filtering algorithms
- movie recommendation
- netflix prize
- user profiling
- item based collaborative filtering
- user interests
- user profiles
- web search
- hybrid recommendation
- probabilistic matrix factorization
- collaborative filtering recommender systems
- deal with information overload
- user modeling
- trust aware
- recommendation algorithms
- user feedback
- transfer learning
- text classification
- website