online user behavior analysis on graphical model Java Project

For More Details Contact
Name:Venkatarao Ganipisetty
Mobile:+91 9966499110
Email :[email protected]
Website:www.venkatjavaprojects.com
Online shopping is growing on large scale. People purchase their products via internet. They just have to choose their products and make the payment. Users get their products on doorstep. Online shopping had made people’s life easier and faster. As online shopping is increasing, large amount of data on people’s online activities have become available on web. Use of such data can benefit a lot of applications. User behavior, online customer classification can be extracted from these web data. We proposed a system where we can extract the user’s online shopping behavior. System will extract user’s online behavior pattern and will show in graphical format. This graphical format helps the admin during decision making process. We propose a graphical hidden state model based on statistical features and integrate all available information sources to simulate the decision making process. The proposed system, lead to nearly 30% of improvement on million click datasets. This system will be online web application where many products will be displayed on web page. User can view and purchase the products. User sequential behavior pattern is tracked by the system and is put in graphical format which helps during decision making process. This system helps the admin to know most frequently purchased products by the customer. Admin will also get to know which products are in demand. So he can make the decision based on the online behavior pattern of the customer. As user behavior pattern is put up in graphical format it will be easier for the admin to view the data and can make decision process faster and can come up with solution quicker.
Features
• Admin Login: Admin can access the authorized modules by login to the system using his credentials.
o Add Products: Admin can add products by entering product details like product image, cost, and description.
o View User: Admin can view registered user details.
o View Products: Admin can view products which added into the database.
o View User Behavior in graphical format: User behavior pattern is fetched by applying effective algorithm and is displayed in graphical format.
o View Feedback: Admin can view feedback of the user.
• User Login: User must register with his details and system will provide him with id and password. He must use this user id and password to login to the system.
o View Products: User can view the products and their cost.
o Products Details: User must select the product of his choice and view further details of that product.
o Add To Cart: User can add products into cart, if he wants to purchase the product.
o Make payment: System will display total cost. User can make payment by selecting the mode of payment.
o Add Feedback: Customer can add feedback about any product.
Advantages of the proposed project:-
• This system helps to find out products which are more in demand.
• This system provides the data in graphical format.
• As user behavior pattern is put up in graphical format it will be easier for the admin to view the data and can make decision process faster and can come up with solution quicker.
• This system helps the admin to know most frequently purchased products by the customer.


Disadvantages:
• Users who don’t have internet connection can’t access the system.
• System does not display products to the user which are purchased frequently.

Application:
This application can be used by many users who prefer online shopping.