Call for Paper - January 2021 Edition
IJCA solicits original research papers for the January 2021 Edition. Last date of manuscript submission is December 21, 2020. Read More

Click Through Rate Utilization Approches and its Limitation: A Review

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Shraddha Sharma, Abhishek Kumar Dewangan

Shraddha Sharma and Abhishek Kumar Dewangan. Click Through Rate Utilization Approches and its Limitation: A Review. International Journal of Computer Applications 174(9):8-10, September 2017. BibTeX

	author = {Shraddha Sharma and Abhishek Kumar Dewangan},
	title = {Click Through Rate Utilization Approches and its Limitation: A Review},
	journal = {International Journal of Computer Applications},
	issue_date = {September 2017},
	volume = {174},
	number = {9},
	month = {Sep},
	year = {2017},
	issn = {0975-8887},
	pages = {8-10},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2017915363},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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.


  1. Lili Shan, Lei Lin, Chengjie Sun, Xiaolong Wang, "Predicting ad click-through rates via feature-based fully coupled interaction tensor factorization", Journal Electronic Commerce Research and Applications archive, Volume 16 Issue C, March 2016 , Pages 30-42, ISSN: 1567-4223
  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.
  3. Marlina Abdul Latib, Saiful Adli Ismail, Haslina Md Sarkan and Rasimah Che Mohd Yusoff , "ANALYZING LOG IN BIG DATA ENVIRONMENT", ARPN Journal of Engineering and Applied Sciences ,VOL. 10, NO. 23, DECEMBER 2015 ISSN 1819-6608.
  4. Avneesh Tiwari, Rishabh Soni, Dr. Sanjay Agrawal ,"WEB LOG MINING USING MAPREDUCE AND APACHE SPARK", International Journal of Engineering Research-Online, Vol.3., Issue.5., 2015 (Sept.-Oct.).
  5. Zhipeng Fang, Kun Yue, Jixian Zhang, Dehai Zhang, and Weiyi Liu, “Predicting Click-Through Rates of New Advertisements Based on the Bayesian Network,” Mathematical Problems in Engineering, vol. 2014, Article ID 818203, 9 pages, 2014. doi:10.1155/2014/818203.


Hadoop, HDFS, Hit Count, Click Throgh Document.