Incremental Multi-Dimensional Recommender Systems: Co-Factorization vs Tensors.
Miguel Sozinho RamalhoJoão VinagreAlípio Mário JorgeRafaela BastosPublished in: ORSUM@RecSys (2019)
Keyphrases
- multi dimensional
- recommender systems
- matrix factorization
- tensor factorization
- collaborative filtering
- incremental learning
- high order
- factorization methods
- data sparsity
- cold start problem
- information filtering
- singular value decomposition
- low rank
- user modeling
- multiple dimensions
- personalized recommendation
- incremental version
- user preferences
- information overload
- user profiling
- multi dimensional data
- factorization method
- trust aware
- compound critiques
- diffusion tensor
- feature space
- user model
- data cube
- higher order
- product recommendation
- tensor field
- structure tensor
- recommendation quality
- non rigid structure from motion
- user interface