Modeling and evaluating credibility of web applications

Authors:
Sara Guimarães;Adriano Pereira;Arlei Silva;Wagner Meira, Jr.
Affiliations:
Federal University of Minas Gerais (UFMG), MG, Brazil;Federal Center for Technological Education of Minas Gerais (CEFET-MG), Belo Horizonte, MG, Brazil;Federal Univ. of Minas Gerais, Belo Horizonte, MG, Brazil;Federal Univ. of Minas Gerais, Belo Horizonte, MG, Brazil
Venue:
Proceedings of the 2011 Joint WICOW/AIRWeb Workshop on Web Quality
Year:
2011

Citing 11
Cited 0

Reputation systems

Communications of the ACM
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Optimizing search engines using clickthrough data

Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Propagation of trust and distrust

Proceedings of the 13th international conference on World Wide Web
An introduction to ROC analysis

Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Analyzing seller practices in a Brazilian marketplace

Proceedings of the 18th international conference on World wide web
The effects of source credibility ratings in a cultural heritage information aggregator

Proceedings of the 3rd workshop on Information credibility on the web
Blog credibility ranking by exploiting verified content

Proceedings of the 3rd workshop on Information credibility on the web
Cutting-plane training of structural SVMs

Machine Learning
Fraud detection in reputation systems in e-markets using logistic regression

Proceedings of the 2010 ACM Symposium on Applied Computing
CredibilityRank: A Framework for the Design and Evaluation of Rank-based Credibility Models for Web Applications

EUC '10 Proceedings of the 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The popularization of the Web has given rise to new services every day, demanding mechanisms to ensure the credibility of these services. In this work we adopt a framework for the design, implementation and evaluation of credibility models. We call a credibility model a function capable of assigning a credibility value to a transaction of a Web application, considering different criteria of this service and its supplier. To validate this framework and models, we perform experiments using an actual dataset, from which we evaluated different credibility models using distinct types of information. The obtained results are very good, showing representative gains, when compared to a baseline and also to a known state-of-the-art approach. The results show that the credibility framework can be used to enforce trust to users of services on the Web.