Word Sequential Using Deep LSTM and Matrix Factorization to Handle Rating Sparse Data for E-Commerce Recommender System

Table 5

Tools and library.

Number	Tools and library	Specification
1	Processor	Intel Xeon quad core, 2.4 GHz
2	Memory	32 GB
3	GPU	Nvidia Tesla P100 PCI-E 12 GB
4	Tensor flow	Deep learning tools
5	Keras	Deep learning tools
6	Anaconda	Web interface
7	Python	Tool programming
8	Scikit-learn	Evaluation metrics, ML module
9	Pylearn
10	Surface	RecSys SVD
11	NLTK	NLP module
12	Matplotlib	Data analytics visualization
13	GLOVE	Word vector representation
14	NumPy	Matrix factorization