Algorithmic Acceleration of Parallel ALS for Collaborative Filtering: Speeding up Distributed Big Data Recommendation in Spark.
Manda WinlawMichael B. HynesAnthony L. CateriniHans De SterckPublished in: CoRR (2015)
Keyphrases
- big data
- collaborative filtering
- data intensive
- commodity hardware
- recommender systems
- cloud computing
- data sparsity
- big data analytics
- personalized recommendation
- recommendation systems
- business intelligence
- data analysis
- social media
- data management
- data processing
- matrix factorization
- vast amounts of data
- massive data
- map reduce
- shared memory
- parallel processing
- user preferences
- unstructured data
- cold start problem
- product recommendation
- knowledge discovery
- recommendation algorithms
- parallel execution
- content based filtering
- data warehousing
- user profiles
- distributed systems
- parallel implementation
- data analytics
- collaborative filtering algorithms
- latent factor models
- information processing
- collaborative filtering recommendation
- data driven decision making
- data intensive computing
- case study
- data science
- database systems