Cold-start recommender system problem within a multidimensional data warehouse.
Elsa NegreFranck RavatOlivier TesteRonan TournierPublished in: RCIS (2013)
Keyphrases
- data warehouse
- cold start
- recommender systems
- data cube
- multidimensional data
- multidimensional data model
- multidimensional databases
- cold start problem
- online analytical processing
- on line analytical processing
- collaborative filtering
- olap systems
- data warehousing
- ub tree
- decision support
- data mining
- business intelligence
- databases
- data management
- data sparsity
- user preferences
- data analysis
- query execution
- matrix factorization
- tag recommendation
- implicit feedback
- olap queries
- data sources
- multidimensional analysis
- requirement analysis
- data mining techniques
- metadata
- data warehouse design
- personalized recommendation
- multi dimensional
- user model
- data sparseness
- user interests
- information overload
- recommendation systems
- eye tracking
- user profiles