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Application of Data Mining in Designing a Recommender System on Social Networks

by Saman Forouzandeh, Heirsh Soltanpanah, Amir Sheikhahmadi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 1
Year of Publication: 2015
Authors: Saman Forouzandeh, Heirsh Soltanpanah, Amir Sheikhahmadi
10.5120/ijca2015905313

Saman Forouzandeh, Heirsh Soltanpanah, Amir Sheikhahmadi . Application of Data Mining in Designing a Recommender System on Social Networks. International Journal of Computer Applications. 124, 1 ( August 2015), 32-38. DOI=10.5120/ijca2015905313

@article{ 10.5120/ijca2015905313,
author = { Saman Forouzandeh, Heirsh Soltanpanah, Amir Sheikhahmadi },
title = { Application of Data Mining in Designing a Recommender System on Social Networks },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 1 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number1/22071-2015905313/ },
doi = { 10.5120/ijca2015905313 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:13:17.153757+05:30
%A Saman Forouzandeh
%A Heirsh Soltanpanah
%A Amir Sheikhahmadi
%T Application of Data Mining in Designing a Recommender System on Social Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 1
%P 32-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The prevalence of social networks amongst people has become an inevitable issue. At the same time, social networks have widely been used for commercial purposes. As a result, in order to sell the products, social networks have been equipped with various recommender systems that provide the users with commercial offers that are appropriate for their behavior. The accuracy of the recommender systems in providing offers to the users and the number of offers accepted by the users are crucial issues. In the present study, a recommender system was designed that operates based on the users' behavior on Facebook and in two phases offers the users to buy their favorite products. In the first phase, the users' behavior is investigated and based on their interest they are offered to buy some products. In the second phase, the recommender system uses data mining techniques and provides the users with offers that are relevant to their previous purchase. The data of the study are factual and the results are valid. Moreover, the results indicate that the designed recommender system is highly accurate in providing offers to the users.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Social Networks Data Mining Recommender Systems Association Rules

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