Open Access   Article Go Back

A Survey Paper on OSN User Wall to Filter Unwanted Messages

Nasarin Bawane1 , Manisha Pise2

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-11 , Page no. 75-77, May-2019

Online published on Jun 15, 2019

Copyright © Nasarin Bawane, Manisha Pise . 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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Nasarin Bawane, Manisha Pise, “A Survey Paper on OSN User Wall to Filter Unwanted Messages,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.11, pp.75-77, 2019.

MLA Style Citation: Nasarin Bawane, Manisha Pise "A Survey Paper on OSN User Wall to Filter Unwanted Messages." International Journal of Computer Sciences and Engineering 07.11 (2019): 75-77.

APA Style Citation: Nasarin Bawane, Manisha Pise, (2019). A Survey Paper on OSN User Wall to Filter Unwanted Messages. International Journal of Computer Sciences and Engineering, 07(11), 75-77.

BibTex Style Citation:
@article{Bawane_2019,
author = {Nasarin Bawane, Manisha Pise},
title = {A Survey Paper on OSN User Wall to Filter Unwanted Messages},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {11},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {75-77},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1018},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1018
TI - A Survey Paper on OSN User Wall to Filter Unwanted Messages
T2 - International Journal of Computer Sciences and Engineering
AU - Nasarin Bawane, Manisha Pise
PY - 2019
DA - 2019/06/15
PB - IJCSE, Indore, INDIA
SP - 75-77
IS - 11
VL - 07
SN - 2347-2693
ER -

           

Abstract

One fundamental issue in today On-line Social Networks (OSN’s) is to give users the ability to control the messages posted on their own private space. To avoid that unwanted content is displayed. Until now OSN provides little support to this requirement. To fill this gap, in this project, we propose a system that allows a user to create our own blacklist, in this user get insert unwanted words which they don’t want on our wall. We provide user to customize the filtering criteria to be applied on to their walls.

Key-Words / Index Term

Online Social Networks (OSN`s), unwanted, blacklist, filtering criteria

References

[1] A. Adomavicius, G.and Tuzhilin, “Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions,” IEEE Transaction on Knowledge and Data Engineering, vol. 17, no. 6, pp. 734-749, 2005.
[2] M. Chau and H. Chen, “A machine learning approach to web page filtering using content and structure analysis,” Decision Support Systems, vol. 44, no. 2, pp. 482-494, 2008.
[3] M.Vamsi Krishna Reddy.S.V.S.SriHarsha Sastry, Ch.Hari Kishore Md. Ali Hussain Content Based Filtering In Social Networking Sites Using Web Application
[4] Nahier Aldhafferi, Charles Watson and A.S.M Sajeev PERSONAL INFORMATION PRIVACY SETTINGS OF ONLINE SOCIAL NETWORKS AND THEIR SUITABILITY FOR MOBILE INTERNET DEVICES International Journal of Security, Privacy and Trust Management (IJSPTM) vol 2, No 2, April 2013
[5] Sana Patka S. D.Zade. Novel Approach to Filter Unwanted Messages in Online Social Networks Volume 2, Issue 5, May 2014
[6]R. J. Mooney and L. Roy, “Content-based book recommending using learning for text categorization,” in Proceedings of the Fifth ACM Conference on Digital Libraries. New York: ACM Press, 2000, pp. 195-204.
[7]F. Sebastiani, “Machine learning in automated text categorization,” ACM Computing Surveys, vol. 34, no. 1, pp. 1-47, 2002.
[8] M. Vanetti, E. Binaghi, B. Carminati, M. Carullo, and E. Ferrari,“Content-based filtering in on-line social networks,” in Proceedings of ECML/PKDD Workshop on Privacy and Security issues in DataMining and Machine Learning (PSDML 2010), 2010.
[9] N. J. Belkin and W. B. Croft, “Information filtering and information retrieval: Two sides of the same coin?” Communications of the ACM, vol. 35, no. 12, pp. 29-38, 1992.
[10]P. J. Denning, “Electronic junk,” Communications of the ACM, vol. 25, no. 3, pp. 163-165, 1982.
[11]P. W. Foltz and S. T. Dumais, “Personalized information delivery: An analysis of information filtering methods,” Communications of the ACM, vol. 35, no. 12, pp. 51-60, 1992.
[12] P. S. Jacobs and L. F. Rau, “Scisor: Extracting information from on-line news,” Communications of the ACM, vol. 33, no. 11, pp. 88-97,1990.
[13] S. Pollock, “A rule-based message filtering system,” ACM Trans-actions on Office Information Systems, vol. 6, no. 3, pp. 232-254,