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Amazon Beauty Product Ratings
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset contains over 2 Million customer reviews and ratings for Beauty related products sold on Amazon's website. Amazon, a leading electronic commerce and cloud computing company, significantly relies on recommendation engines that leverage customer ratings and purchase history to enhance sales. This dataset is specifically designed to allow for the creation of new recommendation engines, offering a valuable resource for understanding product satisfaction and customer behaviour in the beauty sector.
Columns
- UserId: A unique hash identifying each customer who submitted a rating. There are 1.21 million unique user IDs in this dataset.
- ProductId: Amazon's unique product identification code (ASIN) for each specific beauty product. The dataset includes approximately 249,000 unique product IDs.
- Rating: The customer satisfaction rating, on a scale of 1 to 5. The mean rating in this dataset is 4.15, with a rating of 5 being the most frequently awarded score by customers.
- Timestamp: The UNIX time of when the rating was submitted.
Distribution
The dataset is provided in a CSV format, specifically named
ratings_Beauty.csv, with a file size of 82.43 MB. It comprises over 2.02 million valid data points across its 4 distinct columns. All columns are validated with no missing or mismatched entries, ensuring high data quality.Usage
This dataset is ideal for:
- Developing and evaluating recommendation systems for beauty products, aiming to improve product discovery and sales.
- Analysing customer satisfaction levels and trends for various beauty items based on user ratings.
- Gaining insights into purchase patterns and popular products over time using the timestamp information.
- Researching e-commerce dynamics and customer behaviour within the beauty segment.
Coverage
The dataset primarily focuses on customer ratings for beauty products available on Amazon.com. The timestamps for the ratings range from a minimum UNIX time of 909 million to a maximum of 1.41 billion. This broadly corresponds to a period from the late 1990s through to mid-2010s, reflecting a significant period of e-commerce activity and customer feedback on beauty products. The data captures a wide array of customer interactions with beauty products.
License
CC0: Public Domain
Who Can Use It
- Data scientists and machine learning engineers: For building and refining algorithms for product recommendation and customer segmentation.
- Academics and researchers: To study consumer behaviour, product trends, and the effectiveness of rating systems in online retail environments.
- Market analysts: To identify key drivers of customer satisfaction and pinpoint popular products or emerging trends within the beauty category.
- Product managers: To understand how products are perceived by customers and inform future product development and marketing strategies.
Dataset Name Suggestions
- Amazon Beauty Product Ratings
- E-commerce Beauty Product Customer Reviews
- Amazon Customer Beauty Product Scores
- Beauty Product Customer Satisfaction Metrics
Attributes
Original Data Source: Amazon Beauty Product Ratings
QUALITY