Data Source

https://tianchi.aliyun.com/dataset/dataDetail?dataId=113649

Data Format

user_item_behavior_history.csv

The data set covers all behaviors (including clicks, favorites, adding, and purchases) of approximately 2 million random users from June 3, 2019 to June 3, 2021. The organization of the data set is similar to MovieLens-20M, namely Each row of the collection represents a user data behavior, which is composed of user ID, product ID, behavior type, and log. Each column summarizes the detailed information of the product under investigation.

Field	Explanation
User ID	An integer, the serialized ID that represents a user
Item ID	An integer, the serialized ID that represents an item
Behavior type	A string, enum-type from ('clk', 'fav', 'cart','pay')
Timestamp	An integer, the timestamp of the behavior

user_profile.csv

This data set mainly contains the basic attributes of about five million random users, such as age, gender, occupation, resident city ID, crowd tag, etc. Each row of the data set represents a piece of user information, separated by commas. The detailed description of each column in the data set is as follows:

Field	Explanation
User ID	An integer, the serialized ID that represents a user
Age	An integer, the serialized ID that represents an user age
Gender	An integer, the serialized ID that represents the user gender
Occupation	An integer, the serialized ID that represents the user occupation
Habitual City	An integer, the serialized ID that represents the user habitual city，single value
User Tag List	A String, the ID of each tag is separated by English semicolon after serialization

item_profile.csv

This data file mainly contains the basic attribute characteristics of about 270,000 products, such as product category ID, product city, product label, etc. Each row of the data set represents the information of a product, separated by commas. The detailed description of each column in the data set is as follows:

Field	Explanation
Item ID	An integer, the serialized ID that represents an item
Category ID	An integer, the serialized ID that represents an item category
Item City	An integer, the serialized ID that represents an item City
Item Tag List	A String, the ID of each tag is separated by English semicolon after serialization