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User Behavior Based Friend Recommendation in Facebook Social Networks

Sanjeev Dhawan1 , Kulvinder Singh2 , Honey Gupta3

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-03 , Page no. 69-73, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6si3.6973

Online published on Apr 30, 2018

Copyright © Sanjeev Dhawan, Kulvinder Singh , Honey Gupta . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Sanjeev Dhawan, Kulvinder Singh , Honey Gupta, “User Behavior Based Friend Recommendation in Facebook Social Networks,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.03, pp.69-73, 2018.

MLA Style Citation: Sanjeev Dhawan, Kulvinder Singh , Honey Gupta "User Behavior Based Friend Recommendation in Facebook Social Networks." International Journal of Computer Sciences and Engineering 06.03 (2018): 69-73.

APA Style Citation: Sanjeev Dhawan, Kulvinder Singh , Honey Gupta, (2018). User Behavior Based Friend Recommendation in Facebook Social Networks. International Journal of Computer Sciences and Engineering, 06(03), 69-73.

BibTex Style Citation:
@article{Dhawan_2018,
author = {Sanjeev Dhawan, Kulvinder Singh , Honey Gupta},
title = {User Behavior Based Friend Recommendation in Facebook Social Networks},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2018},
volume = {06},
Issue = {03},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {69-73},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=321},
doi = {https://doi.org/10.26438/ijcse/v6i3.6973}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i3.6973}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=321
TI - User Behavior Based Friend Recommendation in Facebook Social Networks
T2 - International Journal of Computer Sciences and Engineering
AU - Sanjeev Dhawan, Kulvinder Singh , Honey Gupta
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 69-73
IS - 03
VL - 06
SN - 2347-2693
ER -

           

Abstract

Social Network provides different applications like Facebook, Twitter, Skype and Instagram through which different users can use them and share their thoughts, images, videos and feelings with their friends. It is very difficult for a user to recommend friends to other new users. In this paper a survey of existing friend recommendation techniques such as Match maker, content based and geographical based recommendation has been presented after that this paper provides mechanism how a friend will be recommended to new user in Facebook social network.

Key-Words / Index Term

Social Network, Recommendation, Facebook, Content based recommendation, and community

References

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