An empirical study of alternating least squares collaborative filtering recommendation for Movielens on Apache Hadoop and Spark.
Jung-Bin LiSzu-Yin LinYu-Hsiang HsuYing-Chu HuangPublished in: Int. J. Grid Util. Comput. (2020)
Keyphrases
- collaborative filtering recommendation
- collaborative filtering
- alternating least squares
- open source
- matrix factorization
- negative matrix factorization
- nonnegative matrix factorization
- map reduce
- stochastic gradient descent
- personalized recommendation
- recommender systems
- low rank approximation
- recommendation systems
- low rank
- user preferences
- recommendation algorithms
- user profiles
- least squares
- data representation
- machine learning
- step size
- sparse representation
- information retrieval
- community detection
- spectral clustering
- singular value decomposition
- social network analysis
- principal component analysis