Hybrid Recommendation System with Graph based and Collaborative Filtering Recommendation Systems
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Abstract
Every online platform on the internet needs to have some kind of recommendation system. A recommendation system will suggest products or services on a platform to a user, based on their preference and history. This increases user engagement on the platform, as they help the user in their choices. Hence, there is a need for a simple recommendation system solution. Recommendation system works by creating relations between products or the users; and by evaluation of those relations, it can suggest relevant products related to any product. Hybrid Recommendation combines the predictions of two or more recommendation techniques. This system combines the predictions from product - based predictions; implemented using a Graph based recommendation system, and users - based predictions; implemented using Collaborative Filtering recommendation system.