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Browsing Pattern Analysis: What user browsing Patterns Indicate

by Sai Sagar Peri, Nikhil Srivastava, Nitin Arora
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 2
Year of Publication: 2017
Authors: Sai Sagar Peri, Nikhil Srivastava, Nitin Arora
10.5120/ijca2017915937

Sai Sagar Peri, Nikhil Srivastava, Nitin Arora . Browsing Pattern Analysis: What user browsing Patterns Indicate. International Journal of Computer Applications. 180, 2 ( Dec 2017), 16-20. DOI=10.5120/ijca2017915937

@article{ 10.5120/ijca2017915937,
author = { Sai Sagar Peri, Nikhil Srivastava, Nitin Arora },
title = { Browsing Pattern Analysis: What user browsing Patterns Indicate },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 180 },
number = { 2 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number2/28771-2017915937/ },
doi = { 10.5120/ijca2017915937 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:59:30.581780+05:30
%A Sai Sagar Peri
%A Nikhil Srivastava
%A Nitin Arora
%T Browsing Pattern Analysis: What user browsing Patterns Indicate
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 2
%P 16-20
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the advent of the Internet of Things (IoT) the number of users and the number of websites in the World Wide Web increase exponentially by the day. Consequently, the users have issues searching required content in the plethora of available websites. Optimisation, speed, and convenience of browsing through data have never been more important. This is where the role of user preference mapping through the process of browsing pattern analysis comes in. The process of user browsing pattern analysis using the experimental setup of a self-constructed tool LAZY has been done to show a sample of browsing pattern analysis and the effects it might have on today's applications. Why is it needed? The tool analyses the browser data of the user and places the user into certain demographic which is greatly beneficial to the user who now receives suggestions for relevant content. It is also beneficial to the content developers who can now receive data about user preferences which could further boost the navigability of the website and thereby the profitability of the website.

References
  1. Mentes S. Ahmet, Aykut H. Turan, "Assessing the usability of university websites: an empirical study on Namik Kemal University", TOJET: The Turkish Online Journal of Educational Technology 11.3, 2012.
  2. S.Roy, P. Pattnaik, R. Mall, "A quantitative approach to evaluate usability of academic websites based on human perception", Egyptian Informatics Journal, vol. 15, no. 3, pp. 159-167, 2014.
  3. T. Stewart, "Websites- Quality and Usability", Behaviour & Information Technology, vol. 31, no. 7, pp. 645-646, 2012
  4. D.Waisberg,A.Kaushik,"Web Analytics2.0: Empowering Customer Centricity" in The Original Search Engine Marketing Journal 2, vol. 2, no. 1, pp. 5-11, 2009.
  5. Dingli, S. Cassar, "An Intelligent Framework for Website Usability", Advances in Human-Computer Interaction, vol. 2014, pp. 1-13, 2014.
  6. Er. Mohammad Shabaz, Er. Neha Kumari, “Advance Rabin Karp Algorithm for string matching” International Journal of Current Research, Vol 9, Issue 09, pp.57572-57574, September 2017
  7. Abdulrahman Hamed Almutairi, Abdulrahman Helal Alruwaili, “Improving of QuickSort Algorithm Performance by Sequential Thread or Parallel Algorithms.”Journal of Computer Science and Technology Hardware & Computation, Volume 12, Issue 10-Version-1.0,2012
Index Terms

Computer Science
Information Sciences

Keywords

Internet of Things (IoT) optimisation user preference mapping browsing pattern analysis demographic relevant content navigability profitability website.

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