Graduate project

Product Recommendation System Using Machine Learning Techniques

The importance of a good recommendation system is of high necessity in the modern world,where almost all businesses are being available online. In the large scale e-commerce websites like amazon,Walmart, e-bay,Costco and Alibaba etc have been using these recommender systems for a long time. These recommender systems play a major role in their success and profits in their business too.Not only e-commerce websites but other sources of entertainment like Netflix, Youtube, Hulu, Spotify use this recommender systems to provide a better experience to the users. As we can see that these recommendation systems are being used by all types of industries, every company uses a different type of technique and algorithms to build these recommender systems. This paper suggests the use of new approach to estimate the similarity and make the appropriate recommendation to the users.

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