An Application-Oriented Review of Blockchain-Based Recommender Systems

Recommender systems (RS) have been around us since the beginning of the new age of technology, consisting of artificial intelligence, machine learning, the Internet of things (IoT), etc. The RS provides a personalized touch to the customers, thus helping them in decision-making. It also helps the business improve sales; hence, big tech companies like Netflix, amazon, etc. rely hugely on their RS to gain more sales. Many studies are focused on improving the accuracy of the RS but little on the security aspects of RS. Blockchain technology is the epitome of security and privacy. Hence, this research focuses on integrating blockchain with recommender engines and their advantages and challenges.