![](https://github.com/TarikKaanKoc/Armut-ARL_Recommender_System/raw/main/image.jpg?raw=True&raw=true)
Armut, Turkey's largest online service platform, brings together service providers and those who want to receive service. It provides easy access to services such as cleaning, modification and transportation with a few touches on your computer or smart phone.
It is desired to create a product recommendation system with Association Rule Learning by using the data set containing the services and categories that the users have purchased.
The data set consists of the services customers receive and the categories of these services. It contains the date and time information of each service received.
- Total Features : 4
- Total Row : 162.523
- CSV File Size : 5 MB
Sr. | Feature | Description |
---|---|---|
1 | UserId | Customer Id |
2 | ServiceId | They are anonymized services belonging to each category. (Example: Upholstery washing service under cleaning) A ServiceId can be foundunder different categories and refers to different services under different categories. (Example: Furniture assembly with CategoryId 2 ServiceId 4 during service core cleaning with CategoryId 7 ServiceId 4) |
3 | CategoryId | They are anonymized categories. (Example: Cleaning, shipping, as follows) |
4 | CreateDate | The date the service was purchased |