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Amazon---Ratings-(Beauty-Products) - MaRDI portal

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Amazon---Ratings-(Beauty-Products)

From MaRDI portal
Dataset:6036469



OpenML43366MaRDI QIDQ6036469

OpenML dataset with id 43366

Author name not available (Why is that?)

Full work available at URL: https://api.openml.org/data/v1/download/22102191/Amazon---Ratings-(Beauty-Products).arff

Upload date: 23 March 2022



Dataset Characteristics

Number of features: 4 (numeric: 2, symbolic: 0 and in total binary: 0 )
Number of instances: 2,023,070
Number of instances with missing values: 0
Number of missing values: 0

Description

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.






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