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Reseach Article

Graph based Recommendation for Distributed Systems

by Vivek Pandey, Padma Bonde
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 168 - Number 4
Year of Publication: 2017
Authors: Vivek Pandey, Padma Bonde
10.5120/ijca2017914376

Vivek Pandey, Padma Bonde . Graph based Recommendation for Distributed Systems. International Journal of Computer Applications. 168, 4 ( Jun 2017), 41-43. DOI=10.5120/ijca2017914376

@article{ 10.5120/ijca2017914376,
author = { Vivek Pandey, Padma Bonde },
title = { Graph based Recommendation for Distributed Systems },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2017 },
volume = { 168 },
number = { 4 },
month = { Jun },
year = { 2017 },
issn = { 0975-8887 },
pages = { 41-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume168/number4/27866-2017914376/ },
doi = { 10.5120/ijca2017914376 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:15:15.748159+05:30
%A Vivek Pandey
%A Padma Bonde
%T Graph based Recommendation for Distributed Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 168
%N 4
%P 41-43
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A huge amount of information available through electronically, the requirement for effective information retrieval and the implementation of filtering tools have become more necessary for easy retrieval of relevant information. Recommendation Systems (RS) are the software tools and methods providing recommendation for items as well as services to be of need to a user. These systems are providing widespread success in e-commerce applications now-a-days, with the generation of internet. This paper presents a survey of the area of recommendation systems and illustrates the state of the art of the recommendation technique that are generally classified into three categories: Content based Collaborative, Demographic and Hybrid systems. This paper discusses the advantages and disadvantages of the current survey categories as well as the trustworthiness of the recommendation system in a new dimension as searching the evaluator for more suitable recommendations. In the domain of recommendation system, this work can also help to put forward for the use of researcher as an enabling technology.

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Index Terms

Computer Science
Information Sciences

Keywords

Recommendation System Hadoop MapReduce Collaborative Graph Based.