A Visited Item Frequency Based Recommender System: Experimental Evaluation and Scenario Description.
Roberto KonowWayman TanLuis LoyolaJavier PereiraNelson BaloianPublished in: J. Univers. Comput. Sci. (2011)
Keyphrases
- experimental evaluation
- recommender systems
- user preferences
- cold start problem
- personalized recommendation
- recommendation algorithms
- collaborative filtering
- cold start
- user profiles
- user ratings
- high level
- latent factor models
- active user
- multi agent
- user interests
- information filtering
- frequency distribution
- movie recommendation
- item recommendation
- data mining
- data sparsity
- user modeling
- information overload
- low frequency
- matrix factorization
- prediction accuracy
- artificial intelligence