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E-commerce Book Ratings Data
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains online data for books from Amazon, along with user ratings and information about users who purchased them. Its primary purpose is to facilitate the building of recommender systems. It provides context on books read by users and the ratings they have provided, enabling the selection and recommendation of top books for each user based on their past purchase behaviour.
Columns
The dataset is organised into three distinct files, each detailing specific aspects:
- Books.csv: Contains descriptions of the books.
- Ratings.csv: Holds the descriptions of book ratings. Ratings are expressed either explicitly on a scale from 1-10, where higher values indicate greater appreciation, or implicitly by a value of 0.
- Users.csv: Provides descriptions of the users.
Distribution
The dataset is provided in CSV format and is structured as three separate tables for users, books, and ratings.
- Books.csv: 77.79 MB
- Ratings.csv: 30.68 MB
- Users.csv: 12.28 MB Specific numbers for rows or records are not available.
Usage
This dataset is ideally suited for:
- Developing book recommender systems.
- Selecting and recommending the top 10 books for each user based on their past purchasing habits.
- Analysing user reading and purchasing patterns on e-commerce platforms.
Coverage
The data was compiled in 2004 and is expected to be updated annually. It focuses on books available on Amazon and the interactions of users with these books, including their ratings and purchase behaviour.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for:
- Data scientists and machine learning engineers working on recommendation algorithms.
- Researchers studying user behaviour and e-commerce trends.
- Developers looking to integrate book recommendation features into applications.
Dataset Name Suggestions
- Amazon Book Ratings for Recommender Systems
- Amazon Books User Interactions Dataset
- E-commerce Book Ratings Data
- User-Book Recommendation Dataset
Attributes
Original Data Source: E-commerce Book Ratings Data
QUALITY