Cold-Start recommender system problem within a multidimensional data warehouse.
Elsa NegreFranck RavatOlivier TesteRonan TournierPublished in: INFORSID (2013)
Keyphrases
- data warehouse
- cold start
- recommender systems
- multidimensional data
- data cube
- multidimensional data model
- multidimensional databases
- cold start problem
- online analytical processing
- on line analytical processing
- olap systems
- data warehousing
- collaborative filtering
- ub tree
- decision support
- databases
- business intelligence
- data management
- user preferences
- matrix factorization
- data analysis
- data sparsity
- data sources
- implicit feedback
- olap queries
- bulk loading
- data mining
- recommendation algorithms
- materialized views
- personalized recommendation
- user ratings
- tag recommendation
- data warehouse design
- metadata
- view selection
- information overload
- user model
- multidimensional analysis
- machine learning
- data sparseness
- query execution
- eye tracking
- data model