loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Rafael Lima and Adriano Pereira

Affiliation: Federal Center for Technological Education of Minas Gerais (CEFET-MG), Brazil

Keyword(s): Web applications, Credibility, Ranking, Trust, e-Markets, Web 2.0.

Related Ontology Subjects/Areas/Topics: B2B, B2C and C2C ; Communication and Software Technologies and Architectures ; e-Business ; e-Business and e-Commerce ; Enterprise Information Systems ; Society, e-Business and e-Government ; Software Agents and Internet Computing ; Web 2.0 and Social Networking Controls ; Web Information Systems and Technologies

Abstract: The popularization of the World Wide Web (WWW) has given rise to new services every day, demanding mechanisms to ensure the credibility of these online services. Since now, little has been done to measure and understand the credibility of this complex Web environment, which itself is a major research challenge. In this work, we use logistic regression to design and evaluate the credibility of a Web application. We call a credibility model a function capable of assigning a credibility value to transaction of a Web application, considering different criteria of this service and its supplier. In order to validate our proposed methodology, we perform experiments using an actual dataset, from which we evaluated different credibility models using distinct types of information sources, and it allows to compare and evaluate these credibility models. The obtained results are very good, showing representative gains, when compared to a baseline. The results show that the proposed methodology ar e promising and can be used to enforce trust to users of services on the Web. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.143.237.140

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Lima, R. and Pereira, A. (2011). APPLYING LOGISTIC REGRESSION TO RANK CREDIBILITY IN WEB APPLICATIONS. In Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8425-51-5; ISSN 2184-3252, SciTePress, pages 480-485. DOI: 10.5220/0003345104800485

@conference{webist11,
author={Rafael Lima. and Adriano Pereira.},
title={APPLYING LOGISTIC REGRESSION TO RANK CREDIBILITY IN WEB APPLICATIONS},
booktitle={Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST},
year={2011},
pages={480-485},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003345104800485},
isbn={978-989-8425-51-5},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Web Information Systems and Technologies - WEBIST
TI - APPLYING LOGISTIC REGRESSION TO RANK CREDIBILITY IN WEB APPLICATIONS
SN - 978-989-8425-51-5
IS - 2184-3252
AU - Lima, R.
AU - Pereira, A.
PY - 2011
SP - 480
EP - 485
DO - 10.5220/0003345104800485
PB - SciTePress