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Movie Recommendation Framework Based on Users Interests for Online Social Networks

Sanjeev Dhawan1 , Kulvinder Singh2 , Neha Singh3

Section:Research Paper, Product Type: Journal Paper
Volume-06 , Issue-03 , Page no. 88-91, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6si3.8891

Online published on Apr 30, 2018

Copyright © Sanjeev Dhawan, Kulvinder Singh , Neha Singh . 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 , Neha Singh, “Movie Recommendation Framework Based on Users Interests for Online Social Networks,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.03, pp.88-91, 2018.

MLA Style Citation: Sanjeev Dhawan, Kulvinder Singh , Neha Singh "Movie Recommendation Framework Based on Users Interests for Online Social Networks." International Journal of Computer Sciences and Engineering 06.03 (2018): 88-91.

APA Style Citation: Sanjeev Dhawan, Kulvinder Singh , Neha Singh, (2018). Movie Recommendation Framework Based on Users Interests for Online Social Networks. International Journal of Computer Sciences and Engineering, 06(03), 88-91.

BibTex Style Citation:
@article{Dhawan_2018,
author = {Sanjeev Dhawan, Kulvinder Singh , Neha Singh},
title = {Movie Recommendation Framework Based on Users Interests for Online 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 = {88-91},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=324},
doi = {https://doi.org/10.26438/ijcse/v6i3.8891}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i3.8891}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=324
TI - Movie Recommendation Framework Based on Users Interests for Online Social Networks
T2 - International Journal of Computer Sciences and Engineering
AU - Sanjeev Dhawan, Kulvinder Singh , Neha Singh
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 88-91
IS - 03
VL - 06
SN - 2347-2693
ER -

           

Abstract

Social Networks are networks which provides platform to different users to share their thoughts and make new friends also recommend some products, movies and friends to their friends or any other new users. In today’s environment it is very difficult to suggest a friend to watch what kind of movie on the basis of their interest. To overcome this kind of problem in this paper an attempt has been made to propose a mechanism to recommend a movie to friends based on their interest. The proposed mechanism is assessed using weka tool. This paper is divided into six sections. In section i brief introduction of social networks and recommendation has been discussed, in section ii existing recommendation techniques with their challenges has been presented, section iii covers modern recommendation techniques after that in section iv challenges and issues of different recommendation techniques has been studied in section v proposed mechanism has been presented section vi covers results and analysis of proposed work with weka tool.

Key-Words / Index Term

Online Social Networks, Recommendation, Collaborative filtering, Rating and Weka

References

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