The aim is to enhance user experience by implementing a personalized product ranking system.
The algorithm recommends the products based on individual user interactions. The ranking system will consider factors such as user preferences, past interactions and user similarity. For a given user, combine their historical interactions, preferences, and user similarity to generate personalized rankings for products.
Sample output:
