Pro-active Multi-Dimensional Recommender System using Multi-Agents.
Hend Al TairMohamed Jamal ZemerlyMahmoud Al-QutayriMarcello LeidaPublished in: Int. J. Interact. Mob. Technol. (2012)
Keyphrases
- multi dimensional
- recommender systems
- multi agent
- collaborative filtering
- multi dimensional data
- user preferences
- matrix factorization
- cooperative
- index structure
- range queries
- user interests
- information filtering
- movie recommendation
- agent coordination
- multiple dimensions
- sequential pattern mining
- trust aware
- user profiles
- cold start problem
- information overload
- user modeling
- cold start
- data sparsity
- sequential patterns
- personalized recommendation
- neural network
- autonomous agents
- heterogeneous agents
- intelligent agents
- user ratings
- high dimensional
- data structure
- collaborative recommendation
- recommendation quality
- data cube