Review Article
A Survey of Long-Tail Item Recommendation Methods
Table 6
The summary on deep learning-based long-tail item recommendation methods.
| | Ref. | Datasets | Main evaluation metrics | Deep learning methods |
| | [20] | MovieLens, BookCrossing | Recall, coverage, diversity | CNN | | [34] | MovieLens, Netflix | Precision, recall, F1-score, Bpref, LTC, WLTC, TTC | Siamese network | | [35] | YOOCHOOSE, 30MUSIC | Recall, MRR, coverage, tail_coverage, tail | GRU encoder, attention mechanism | | [36] | http://ProgrammableWeb.com | Recall, diversity | Stacked denoising autoencoders |
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