Dark Mode
Taobao Maternal and Infant E-commerce Trade History
E-commerce & Online Transactions
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Mapping the shopping journeys of families on major Chinese retail platforms, these logs offer a detailed look at the relationship between household demographics and trade history. The collection includes user-provided details such as children's gender and birthdays, which are used to improve the relevance of search results and product suggestions on Taobao and Tmall. By examining the types of goods purchased alongside the specific attributes of the items, it becomes possible to model how consumer needs evolve as children grow, offering significant insights for retail strategy and predictive analytics in the maternal and infant sectors.
Columns
- user_id: A unique big integer identifier for each Taobao or Tmall member.
- birthday: The recorded birth date of the child associated with the user account.
- gender: The child's gender, where "0" represents female, "1" represents male, and "2" indicates the gender is unknown.
- item_id: A unique big integer identifier for the specific product involved in a trade.
- cat_id: The specific category identifier for the item.
- cat1: The root or primary category identifier for the product.
- property: A string describing various attributes and properties of the corresponding item.
- buy_mount: The numerical quantity of the item purchased in the transaction.
- day: The timestamp representing the date of the trade activity.
Distribution
The information is provided across multiple tables, including
sam_tianchi_mum_baby.csv and sam_mum_baby_trade_history. The consumer information file is approximately 20.78 kB in size and contains 953 records. Each entry in this section is verified as 100% valid, with no missing or mismatched data points across the three primary demographic columns. While the total record count for the trade history table is not specified, it encompasses a broad log of historical transactions with a usability score of 10.00.Usage
This resource is ideal for developing predictive models to estimate a child's age based on parental purchasing behaviour. It is well-suited for researchers looking to forecast specific product demands based on family demographics, such as gender and age. Additionally, the data can be used for market basket analysis to identify which product properties and categories are most frequently sought after by parents on e-commerce platforms.
Coverage
The geographic scope is focused on China, specifically targeting users of the Taobao and Tmall e-commerce ecosystems. The demographic scope includes parents and children, with recorded birthdays in the sample ranging from the late 1980s through to 2015. The information captures a diverse range of categories and item properties, providing a representative view of the maternal and infant retail market over a historical period of trade.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
Retail analysts can leverage these records to identify seasonal trends and category growth within the maternal and infant market. Data scientists may utilise the structured IDs and timestamps to train recommendation algorithms for better search result personalisation. Furthermore, academic researchers can use the demographic markers to study the evolving consumption habits of Chinese families in the digital age.
Dataset Name Suggestions
- Taobao Maternal and Infant E-commerce Trade History
- Tmall Consumer Behaviour: Parent and Child Demographic Analysis
- Maternal and Infant Purchase Patterns on Chinese E-commerce Platforms
- Predictive Analysis of Infant Retail Trade Cycles
- Taobao & Tmall Family Shopping and Demographic Registry
Attributes
Original Data Source: Taobao Maternal and Infant E-commerce Trade History
QUALITYLoading...
Free
Download Dataset in ZIP Format
Recommended Datasets
Loading recommendations...