Click Through Rate Utilization Approches and its Limitation: A Review

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.