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: ICPADS (2015)
Keyphrases
- big data
- collaborative filtering
- recommender systems
- data intensive
- commodity hardware
- cloud computing
- recommendation systems
- matrix factorization
- personalized recommendation
- data analysis
- user preferences
- data processing
- social media
- unstructured data
- parallel processing
- data sparsity
- big data analytics
- massive data
- knowledge discovery
- vast amounts of data
- distributed systems
- latent factor models
- recommendation algorithms
- cold start problem
- business intelligence
- map reduce
- cold start
- data analytics
- data science
- data intensive computing
- data management
- parallel implementation
- shared memory
- data warehousing
- collaborative filtering recommendation
- case study
- collaborative filtering algorithms
- web page recommendation
- database systems
- content based filtering
- parallel execution
- data model
- information systems
- machine learning
- object oriented
- databases
- database