Using Stochastic Gradient Descent On Parallel Recommender System with Stream Data.
Thin Nguyen SiTrong Van HungDat Vo NgocQuan Ngo LePublished in: BCD (2022)
Keyphrases
- stream data
- stochastic gradient descent
- recommender systems
- matrix factorization
- data streams
- sliding window
- collaborative filtering
- least squares
- step size
- historical data
- loss function
- concept drift
- sequential patterns
- random forests
- network traffic
- sensor data
- continuous queries
- cost function
- streaming data
- regularization parameter
- objective function
- support vector machine
- weight vector
- query optimization
- multiple kernel learning
- pairwise
- data structure