GPU accelerated item-based collaborative filtering for big-data applications.
Chandima Hewa NadungodageYuni XiaJaehwan John LeeMyungcheol LeeChoon Seo ParkPublished in: IEEE BigData (2013)
Keyphrases
- big data
- gpu accelerated
- item based collaborative filtering
- collaborative filtering
- cold start problem
- recommender systems
- recommendation algorithms
- finite element
- personalized services
- real time
- data analysis
- cloud computing
- big data analytics
- data management
- social media
- data science
- business intelligence
- cold start
- knowledge discovery
- data warehousing
- sequence alignment
- recommendation systems
- matrix factorization
- data processing
- user preferences
- filtering algorithm
- agent technology
- information processing
- database management systems
- massive datasets
- database systems
- decision making
- databases