Research Article
Word Sequential Using Deep LSTM and Matrix Factorization to Handle Rating Sparse Data for E-Commerce Recommender System
| Data category | Number of users | Number of movies | Number of ratings | Sparsity level (%) | Extra information |
| 1M | 6.040 | 3.544 | 993.482 | 4.64 | Demographic | 10M | 69.878 | 10.073 | 9.945.875 | 1.41 | 95.580 #tags | AIV | 29.757 | 15.149 | 135.188 | 0.03 | Review |
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