Web User Trust Relationship Prediction based on Evidence Theory
You can find number of information on web. Some information on the web can be trusted some may not. In order to find out whether particular information displayed on the web can be trusted or not, we proposed a system where web information is predicted as trustable based on the rating of various users. Here in this system user will read the information displayed on the web and will rate the information. The rating score is used as evidence, based on the ratings of various users system will predict whether the information provided on the web can be trusted or not. This system uses user ratings to infer trust relationships between users. The rating score of the user is used as evidence to find out whether the information displayed on the web is trustable or not. Mining web user trust relationship is important in web information credibility analysis. Motivated by the imprecise nature of trustiness, we propose a novel web user trust prediction method based on evidence theory, which uses user ratings to infer trust relationships between users, where each rating score is treated as evidence. This system will help to built trust between the web users. User can easily trust the content displayed on the website. This system will help to reduce false content to be displayed on web.
Features:
This system will motivate the web users to have trust with the content displayed on the network.
This system uses a novel web user trust prediction method based on evidence theory.
This will infer trust relationships between users, where each rating score is treated as evidence.
Web information is predicted as trustable based on the rating of various users.
This system will help to reduce false content to be displayed on web
Feasibility Study
Our proposed system will allow the user to rate the content displayed on the web. Based on the rating system will predict whether the information displayed on the web can be trusted or not. This will infer trust relationships between users, where each rating score is treated as evidence.
- Economic Feasibility
This system can be used by many E-Commerce enterprises. This system will help to built trust between various web users. This system requires server which will manage data related to system. This will provide economic benefits to the organization. It includes quantification and identification of all the benefits expected.
- Operational Feasibility
This system is more reliable, maintainable, affordable and producible. These are the parameters which are considered during design and development of this project. During design and development phase of this project there was appropriate and timely application of engineering and management efforts to meet the previously mentioned parameters.
- Technical Feasibility
The back end of this project is SQL server which stores parameters related to this system and other details which is related to this project. There are basic requirement of hardware to run this application. This system is developed in .Net Framework using C#. This application will be online so this application can be accessed by using any device like (Personal Computers, Laptop and with some hand held devices).
Advantages
- This system will help to built trust between the web users.
- This system will help to reduce false content to be displayed on web.
- User can easily trust the content displayed on the website.
Disadvantages:
- This system does not detect those users who had falsely rated.
Future Scope
- There can be a module where system will detect those users who had falsely rated.
Software Requirements:
- Windows
- Sql
- Visual studio 2010
Hardware Components:
- Processor – Dual Core
- Hard Disk – 50 GB
- Memory – 1GB RAM
- Internet Connection
Application:
- This system can be used by many E-Commerce Enterprises.
Reference:
- http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6835544&queryText=Web+User+Trust+Relationship+Prediction+based+on+Evidence+Theory&newsearch=true&searchField=Search_All