Amazon Reviews
Product reviews from Amazon and collected by SNAP. The modes represent user-product-word, and each non-zero is the number of times a word appears in a given review. We pre-processed the review text by removing stop words and performing Porter stemming.
Please note that we no longer have the mappings for this dataset. It is provided as a peformance benchmark.
Tensor Statistics
| Non-zeros | 1,741,809,018 |
| Order | 3 |
| Dimensions | 4,821,207 x 1,774,269 x 1,805,187 |
| Tags | counts , text |
Downloadable Files
| File | Description |
|---|---|
| amazon-reviews.tns.gz | Amazon-Reviews tensor |
Citation
@inproceedings{mcauley2013,
title={Hidden factors and hidden topics: understanding rating dimensions with review text},
author={McAuley, Julian and Leskovec, Jure},
booktitle={Proceedings of the 7th ACM conference on Recommender systems},
pages={165--172},
year={2013},
organization={ACM}
}