Our Recommendations Engine Software works both on Content-Based Filtering & Collaborative Filtering. This allows you to recommend products based on the same category, the same price, similarly bought products & demographic-based recommendations
Product Based Recommendations
Oyster recommends products by looking for the same category products, then filtering them based on the price range, past browsing history of users and rating of the products
User-Based Recommendations
Recommendations based on the similarity between two users. It works by looking at the user’s browsing history, Purchase History, Demographics & Profile.
Backed By Advanced NLP Algorithms
Advanced Natural Language Processing is used to recommend products by using keywords to describe the Items and then building user profiles to indicate the type of Items the user likes.
