A Survey on Recommendation System for Bigdata using MapReduce Technology
Maulik V. Dhamecha, Krupa Dobaria, Tejas P. Patalia · 2019
Recently recommender system is emerging as a promising way of communication between user and massive amount of data. Recommendation system organizes the data in large amount to determine the concentration of analyst and make the information retrieval process easier for the users. For this purpose and criteria, large scale recommendation systems are available such as shopping website, movie, music etc. Many researchers have developed several methods or algorithms like collaborative filtering, keyword based filtering etc. Here we proposed University Recommendation System with keyword based sentiment analysis as an underlying algorithm. The proposed work introduces customized and personalized item recommendation and efficiently formulates the most suitable item to the user. Here, we have designed and implemented our system based on the Hadoop framework using MapReduce technology.