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Reseach Article

Click Through Rate Utilization Approches and its Limitation: A Review

by Shraddha Sharma, Abhishek Kumar Dewangan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 9
Year of Publication: 2017
Authors: Shraddha Sharma, Abhishek Kumar Dewangan
10.5120/ijca2017915363

Shraddha Sharma, Abhishek Kumar Dewangan . Click Through Rate Utilization Approches and its Limitation: A Review. International Journal of Computer Applications. 174, 9 ( Sep 2017), 8-10. DOI=10.5120/ijca2017915363

@article{ 10.5120/ijca2017915363,
author = { Shraddha Sharma, Abhishek Kumar Dewangan },
title = { Click Through Rate Utilization Approches and its Limitation: A Review },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 9 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 8-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number9/28434-2017915363/ },
doi = { 10.5120/ijca2017915363 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:40.487396+05:30
%A Shraddha Sharma
%A Abhishek Kumar Dewangan
%T Click Through Rate Utilization Approches and its Limitation: A Review
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 9
%P 8-10
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's Internet world each one experiences the web straight forwardly or in a roundabout way. Current programming based frameworks gather data about their activity and history in click through file. These files data can be used for analysis. The click through document having timestamps, IP address, month, date, and so forth. In today's web situation click through record examination get to be distinctly vital undertaking for dissecting the client's conduct and for enhancing the web applications and managing an account frameworks, and so forth. Rapid change in the technology, make analysis of these file to predict how system will behave in an uncertain situations. Hadoop and apache spark are well known parallel processing system. HDFS and MapReduce are parallel processing systems. Click through files which are created by the web servers contain information about the activities of the visitors like number of visitors and from which domain they are visiting. Thus analyzing those file are very tedious tasks. This paper present some of the techniques used to analyses Hit count of the users and present appropriate method for processing in parallel environment using click through document.

References
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  2. Narkhede, S., T. Baraskar, and D. Mukhopadhyay. 2014. Analyzing Web Application Log Files to Find Hit Count through the Utilization of Hadoop MapReduce in Cloud Computing Environment. In 2014 Conference on IT in Business, Industry and Government (CSIBIG),IEEE, MARCH 2015, Page 1-7.
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Index Terms

Computer Science
Information Sciences

Keywords

Hadoop HDFS Hit Count Click Throgh Document.