Recommendation Systems: From Machine Learning Theory to Real-World Intelligence
Recommendation Systems Understanding how the internet algorithms like Netflix and Amazon forecast the preferences of the user without the user commencing a search. Introduction In the modern digital era, the information floods the users with the ocean of information. Millions of products are sold in e-commerce platforms, thousands of movies are hosted on streaming services and the content developed in social media has no end on end basis, on a second to second basis. The possibility of searching the relevant information by hand has become nearly impossible. One more powerful Application of Machine Learning and Artificial Intelligence caused by this challenge is the Recommendation Systems. The analysis of the behavior and preferences of the end user is done based on the recommendation systems to recommend automatically appropriate items such as movies, products, music or videos. To a great extent, these systems can be credited with online personalization. In this blog, the principles of...
