Title :
Big Data Analysis: Recommendation System with Hadoop Framework
Author :
Verma, Jai Prakash ; Patel, Bankim ; Patel, Atul
Author_Institution :
Inst. of Technol., Nirma Univ., Ahmedabad, India
Abstract :
Recommendation system provides the facility to understand a person´s taste and find new, desirable content for them automatically based on the pattern between their likes and rating of different items. In this paper, we have proposed a recommendation system for the large amount of data available on the web in the form of ratings, reviews, opinions, complaints, remarks, feedback, and comments about any item (product, event, individual and services) using Hadoop Framework. We have implemented Mahout Interfaces for analyzing the data provided by review and rating site for movies.
Keywords :
Big Data; data handling; information retrieval; parallel processing; recommender systems; Mahout interfaces; big data analysis; comments; complaints; feedback; hadoop framework; opinions; ratings; recommendation system; remarks; reviews; Big data; Business; Collaboration; Data mining; Internet; Recommender systems; Big Data Analysis; Hadoop Framework; Mahout; Recommendation System;
Conference_Titel :
Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4799-6022-4
DOI :
10.1109/CICT.2015.86
