Context
Amazon.com is one of the largest electronic commerce and cloud computing companies.
Just a few Amazon related facts
They lost 4.8 million in August 2013, when their website went down for 40 mins.
They hold the patent on 1-Click buying, and licenses it to Apple.
Their Phoenix fulfilment centre is a massive 1.2 million square feet.
Amazon relies heavily on a Recommendation engine that reviews customer ratings and purchase history to recommend items and improve sales.
Content
This is a dataset related to over 2 Million customer reviews and ratings of Beauty related products sold on their website.
It contains
the unique UserId (Customer Identification),
the product ASIN (Amazon's unique product identification code for each product),
Ratings (ranging from 1-5 based on customer satisfaction) and
the Timestamp of the rating (in UNIX time)
Acknowledgements
A description of the entire Amazon products dataset.
This dataset contains product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 - July 2014.
This dataset includes reviews (ratings, text, helpfulness votes), product metadata (descriptions, category information, price, brand, and image features), and links (also viewed/also bought graphs).
For the complete dataset check out Amazon Product Data
Inspiration
Can a good Recommendation engine be created from this minimal dataset?
Give it a try!
If you have got any more cool Amazon facts, dataset or queries, just drop a comment.