Predicting user behaviour through sessions using the web mining
It is the method to extract the user sessions from the created session file. And depending on the sessions created the user behaviour is predicted by displaying them most visited page or the product. Usability is defined as the satisfaction, efficiency and effectiveness with which specific users can complete specific tasks in a particular environment. This process includes 3 stages, namely Data cleaning, User identification, Session identification. In this paper, we are implementing these three phases. Depending upon the frequency of users visiting each page mining is performed. By finding the session of the user we can analyze the user behaviour by the time spend on a particular page.
Modules
User
Register- Users now need to register to login to the system.
Login-User can login by using id and password.
View Products-Users can view the products and its information.
Recommendations-The system will generate most visited pages or products depending on the user visit.
Payment-The users can even make online payment for the products.
Admin
Login-The admin needs to register to get access to the system.
View Users-Admin can view all the registered users of the system.
Add Products-Admin can add products details to the system.
Advantages
Reduces users search time
Hardware Requirement:
i3 Processor Based Computer
1 GB RAM
50 GB Hard Disk
Monitor
Internet Connection
Software Requirement:
Windows 7 or higher.
WAMP Server
Notepad++.
My SQL 5.6.
IEEE Links
http://ieeexplore.ieee.org/document/7784983/