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Amazon Product Reviews/README.md
Data Science Dojo <br/>
Copyright (c) 2016 - 2020
---
**Level:** Advanced <br/>
**Recommended Use:** Text Analytics<br/>
**Domain:** Marketing<br/>
# Amazon product reviews data
This dataset contains product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 - July 2014.
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- overall - rating of the product
- summary - summary of the review
- unixReviewTime - time of the review (unix time)
- reviewTime - time of the review (raw)
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- reviewTime - time of the review (raw)
## Acknowledgement
This data set has been sourced from [jmcauley.ucsd.edu/data/amazon/links.html](http://jmcauley.ucsd.edu/data/amazon/links.html)
### Use of this data requires citation
Please cite one or both of the following if you use the data in any way:
Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering <br/>
R. He, J. McAuley <br/>
WWW, 2016 <br/>
[pdf](http://cseweb.ucsd.edu/~jmcauley/pdfs/www16a.pdf)
Image-based recommendations on styles and substitutes <br/>
J. McAuley, C. Targett, J. Shi, A. van den Hengel <br/>
SIGIR, 2015 <br/>
[pdf](http://cseweb.ucsd.edu/~jmcauley/pdfs/sigir15.pdf)
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  • Eric @ericmenk33 commented

    Digging into this Amazon product review dataset could offer interesting insights into evolving fashion preferences over time. Trends like the tartan kilt now reimagined as practical, modern wear—might show surprising longevity in consumer sentiment. Would be cool to explore how traditional pieces keep their relevance across decades of feedback.

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