Word Sequential Using Deep LSTM and Matrix Factorization to Handle Rating Sparse Data for E-Commerce Recommender System.
HanafiBurhanuddin Mohd AboobaiderPublished in: Comput. Intell. Neurosci. (2021)
Keyphrases
- matrix factorization
- sparse data
- recommender systems
- collaborative filtering
- high dimensional
- low rank
- nonnegative matrix factorization
- data sparsity
- user preferences
- cold start problem
- factorization methods
- rating prediction
- user profiles
- recommendation quality
- cold start
- personalized recommendation
- negative matrix factorization
- item recommendation
- user ratings
- user feedback
- multiscale
- machine learning
- data cube
- multi dimensional
- co occurrence
- least squares
- data structure
- data sets