1. Background
Today’s world is a small, deeply interconnected web. The internet has seemingly infinite potential, and in the post COVID world, the effect of the internet on our lives will just increase. Businesses are developing advanced solutions in e-commerce space to win over clients and one common focus area is personalized recommendations. Recommendation systems enable businesses to maximize their ROI based on the information they can gather on each customer’s preferences and purchases.
While building the recommendation system it is very common to use a traditional collaborative filtering algorithm such as item-item and user-item filtering. Basically, these
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