This dataset contains product reviews and metadata from Amazon.com. 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).
Feedback type: Explicit
Rating scale: 1 to 5
Dataset Link
https://nijianmo.github.io/amazon/index.html
Date Range
May 1996 - Oct 2018
Data Size
Raw review data: 34Gb
Product metadata: 24GB
Ratings only: 6.7GB
Basic Statistics
No. of users: 21 million
No. of products: 15.5 million
No. of reviews: 233.1 million
The dataset consists of three files: Behaviour data (events.csv), Item properties (itemproperties.сsv) and Category tree (categorytree.сsv).
The data has been collected from a real-world ecommerce website. It is raw data, i.e. without any content transformations, however, all values are hashed due to confidential issues.
The behaviour data, i.e. events like clicks, add to carts, transactions, represent interactions that were collected over a period of 4.5 months. A visitor can make three types of events, namely view, addtocart or transaction.
Feedback Type: Implicit (view, addtocart, transaction)
Dataset Link
https://www.kaggle.com/retailrocket/ecommerce-dataset
Date Range
June 2, 2015 - August 1, 2015
Data Size
Raw events data: 89.87 MB
Product metadata: 851.87 MB
Category tree: 14 KB
Basic Statistics
No. of users: 1.41 million
No. of products: 417k
No. of events: 2.75 million
http://www.trustlet.org/epinions.html
