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

fYear

2015

fDate

13-14 Feb. 2015

Firstpage

92

Lastpage

97

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence & Communication Technology (CICT), 2015 IEEE International Conference on

Conference_Location

Ghaziabad

Print_ISBN

978-1-4799-6022-4

Type

conf

DOI

10.1109/CICT.2015.86

Filename

7078674