Abstract
These days in advanced age, any online shop you visit uses type of recommendation system. The recommendation system basically is data filtering devices that make use of estimations and data to endorse the most huge things to a particular user. The recommendation system deals with the huge amount of data and hence there is a need of Hadoop platform to manage and process the data. In this paper, MapReduce algorithm is implemented to process the data which is present in the form of ID, title, ratings, categories, ASIN (Amazon Standard Identification Number) etc. and proposed a content based recommendation system using the Hadoop framework to recommend the similar items as per user’s liked and purchased items.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
