Click Through Rate Utilization Using Hadoop Framework on Cloud Environment

Authors(2) :-Shraddha Sharma, Abhishek Kumar Dewangan

In todays 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 analysis wiki dataset over different nodes on AWS cloud for performance evaluation of processing of click through rate dataset over varying number of nodes as well as number of records.

Authors and Affiliations

Shraddha Sharma
Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India
Abhishek Kumar Dewangan
Department of Computer Science and Engineering, Shri Shankaracharya Technical Campus, Bhilai, Chhattisgarh, India

Hadoop, HDFS, Hit Count, Click Throgh Document.

  1. Lili Shan, Lei Lin, Chengjie Sun, Xiaolong Wang, "Predicting ad click-through rates via feature-based fully coupled interaction tensor factorization", 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 no. 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.), ISSN: 2321-7758
  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

Publication Details

Published in : Volume 3 | Issue 6 | September-October 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 378-381
Manuscript Number : IJSRSET173677
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Shraddha Sharma, Abhishek Kumar Dewangan, " Click Through Rate Utilization Using Hadoop Framework on Cloud Environment, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 6, pp.378-381, September-October-2017.
Journal URL : http://ijsrset.com/IJSRSET173677

Follow Us

Contact Us