In this section i will create a association rule learning recommender on the Armut dataset

📌 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 service users and the services and categories these users have received.

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.

UserId: Customer number

ServiceId: Anonymized services belonging to each category. (Example: Upholstery washing service under the cleaning category) A ServiceId can be found under different categories and refers to different services under different categories. (Example: The service with CategoryId 7 and ServiceId 4 is honeycomb cleaning, while the service with CategoryId 2 and ServiceId 4 is furniture assembly)

CategoryId: Anonymized categories. (Example: Cleaning, transportation, renovation category)

CreateDate: The date the service was purchased