Web Content Trust Rating Prediction Using Evidence Theory

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Web Content Trust Rating Prediction Using Evidence Theory

Web Content Trust Rating Prediction Using Evidence Theory

Web Content Trust Rating Prediction Using Evidence Theory Student software Free project report 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. Click here to get complete Software projects lists.

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.

Conclusion

Web Content Trust Rating Prediction Using Evidence Theory Student software Free project report 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 an evidence.
 
The method first generates basic probability assignments with training sample set using classical statistics, then, integrates conflict resolution rules and D-S evidence combination rules to obtain global BPA, finally, identifies user trust relationships based on global BPA. Our experiments conducted on the Extended Epinions dataset show that the precision, recall and F-measure of the proposed approach reaches 96.78%, 99.44% and 98.10% respectively, with 0.06%, 13.41% and 9.09% improvement over current best practices, demonstrating the advantages and effectiveness of using evidence theory to identify user trust relationship in social networks. 

System Configuration:

H/W System Configuration:- 

System          : Pentium I3 Processor.
Hard Disk       : 500 GB.
Monitor          : Standard LED Monitor
Input Devices : Keyboard
Ram               : 4 GB

S/W System Configuration:-

Operating system              : Windows 7/8/10.
Available Coding Language : PHP
Database                          : MYSQL

Project Name Web Content Trust Rating Prediction Using Evidence Theory
Project Category Software Project
Project Cost 50$/ Rs 2999
Delivery Time 48 Hour
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