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FRANCISCO JOSE
datasets
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2299db1a
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2299db1a
authored
Feb 10, 2020
by
Rebecca Merrett
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Amazon Product Reviews/README.md
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2299db1a
Data Science Dojo
<br/>
Copyright (c) 2016 - 2020
---
**Level:**
Advanced
<br/>
**Recommended Use:**
Text Analytics
<br/>
**Domain:**
Marketing
<br/>
# Amazon product reviews data
# Amazon product reviews data
This dataset contains product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 - July 2014.
This dataset contains product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 - July 2014.
...
@@ -27,4 +36,23 @@ where
...
@@ -27,4 +36,23 @@ where
-
overall - rating of the product
-
overall - rating of the product
-
summary - summary of the review
-
summary - summary of the review
-
unixReviewTime - time of the review (unix time)
-
unixReviewTime - time of the review (unix time)
-
reviewTime - time of the review (raw)
-
reviewTime - time of the review (raw)
\ No newline at end of file
## 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
)
\ No newline at end of file
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