Recommender System#
The Project is a prototype of Recommender System to recommend loyalty cards to customers.
How does it work?#
Assume a scenario where customers carry loyalty cards from various brands in their wallets. Customer 1 has cards from brands A, B, C, D, and E, while Customer 2 has cards from brands A, B, C, and D. It would be beneficial for Customer 2 to consider obtaining a loyalty card from brand E, as other customers with similar brand preferences also have it. The system will recommend brand E to Customer 2 if a sufficient number of other customers with comparable loyalty card collections already include E in their wallets.
What is under the hood?#
The system uses the Apriori algorithm for frequent itemset mining and association rule learning to generate recommendations. The R code is integrated into interactive web applications using RShiny.