Open Access   Article Go Back

Interest Based Interactivity Through Cross Platform in Big Data

Iqbal Ansari1 , Sunil Ghimire2 , Subash Chaudhary3 , Anoop N Prasad4

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-15 , Page no. 208-212, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si15.208212

Online published on May 16, 2019

Copyright © Iqbal Ansari, Sunil Ghimire, Subash Chaudhary, Anoop N Prasad . 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: Iqbal Ansari, Sunil Ghimire, Subash Chaudhary, Anoop N Prasad, “Interest Based Interactivity Through Cross Platform in Big Data,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.208-212, 2019.

MLA Style Citation: Iqbal Ansari, Sunil Ghimire, Subash Chaudhary, Anoop N Prasad "Interest Based Interactivity Through Cross Platform in Big Data." International Journal of Computer Sciences and Engineering 07.15 (2019): 208-212.

APA Style Citation: Iqbal Ansari, Sunil Ghimire, Subash Chaudhary, Anoop N Prasad, (2019). Interest Based Interactivity Through Cross Platform in Big Data. International Journal of Computer Sciences and Engineering, 07(15), 208-212.

BibTex Style Citation:
@article{Ansari_2019,
author = {Iqbal Ansari, Sunil Ghimire, Subash Chaudhary, Anoop N Prasad},
title = {Interest Based Interactivity Through Cross Platform in Big Data},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {15},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {208-212},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1228},
doi = {https://doi.org/10.26438/ijcse/v7i15.208212}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i15.208212}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1228
TI - Interest Based Interactivity Through Cross Platform in Big Data
T2 - International Journal of Computer Sciences and Engineering
AU - Iqbal Ansari, Sunil Ghimire, Subash Chaudhary, Anoop N Prasad
PY - 2019
DA - 2019/05/16
PB - IJCSE, Indore, INDIA
SP - 208-212
IS - 15
VL - 07
SN - 2347-2693
ER -

           

Abstract

Given the ubiquity of social media, interest-based interactivity as a main element to intensify user experience. Interest-based relevance modeling is taken out from user influence in multiple-platform social network Big Data container. The main goal of this work is to implement a platform for providing recommendation across different social network based on user interest. The streams consisted of tags from social media content through a discovery process and the application is tested on social media content streams to generate a Big Data scenario.

Key-Words / Index Term

Cross platform, Data security, Big Data

References

[1] AstaZelenkauskaite and Bruno Simoes, “Big data through cross-platform interest based interactivity”Big Data and Smart Computing, vol. 47, no. 2, pp. 191-196,2014.
[2] H. M. Inc. (2013) Social media management. [Online]. Available:
[3] C. J. Jacoby, “Understanding the limitations of keyword search,” Equivio, white paper, 2012.
[4] Z. D. Zhao, and M. S. Shang, “User-Based Collaborative-Filtering Recommendation Algorithms on Hadoop,”In the third International Workshop on Knowledge Discovery and Data Mining, pp. 478-481, 2010.
[5] G.Adomavicius, and A. Tuzhilin, “Toward the Next Generation of Recommender Systems: A Survey of the State-of- the-Art and Possible Extensions,” IEEE Transactions on Knowledge and Data Engineering, Vol.17, No.6 pp. 734-749, 2005
[6] https://hootsuite.com/E. P. Bucy, “Interactivity in society: Locating an elusive concept,” The information society, vol. 20, no. 5, pp. 373–383, 2004.
[7] O. Foundation. (2013, Sep 13) Openid foundation website.[Online]. Available:http://openid.net/.
[8] S. J. McMillan, “A four-part model of cyber-interactivity some cyberplaces are more interactive than others,” New

Media & Society, vol. 4, no. 2, pp. 271–291, 2002.
[9] E. J. Downes and S. J. McMillan, “Defining interactivity a qualitative identification of key dimensions,” New Media & Society, vol. 2, no. 2, pp. 157–179, 2000.
[10] P. Wilson, “Interdisciplinary research and information overload.” Library Trends, vol. 45, no. 2, pp. 192–203, 1996.
[11] Mohamed sarwat, Justin J. Levandoski , Ahmed Eldawy , and Mohamed F.Mokbel,” LARS*: An efficient and scalable Location –Aware Recommender system.
Daniele Dell`Aglio, Irene Celino, and Dario Cerizza, “Anatomy of a Semantic Web- enabled Knowledge-based Recommender System