Uso de Regressão Logística para Modelar e Avaliar a Credibilidade em Aplicações Web
Resumo
A popularização das aplicações Web tem feito surgir novos serviços a cada dia, demandado mecanismos que assegurem a credibilidade desses serviços. Neste trabalho utilizamos regressão logística para modelar e avaliar a credibilidade de um serviço da Web, considerando diferentes critérios associados ao serviço e seus fornecedores. A fim de validar nossa metodologia, executamos experimentos usando uma base de dados real, a partir da qual avaliamos esses modelos de credibilidade. Os resultados obtidos são muito bons, apresentando ganhos representativos, quando comparados à linha-de-base, mostrando assim que a metodologia proposta é promissora e pode ser usada para fortalecer a confiança dos usuários nos serviços providos na Web.Referências
Agresti, A. (1996). An Introduction to Categorical data Analysis. John Wiley and Sons, New York.
Amin, A., Zhang, J., Cramer, H., Hardman, L., and Evers, V. (2009). The effects of source credibility ratings in a cultural heritage information aggregator. In WICOW ’09: Proc. of the 3rd workshop on Information credibility on the web, pages 35–42, NY, USA. ACM.
Casella, G. and Berger, R. (2002). Statistical Inference. Pacific Grove, 2nd edition.
Dellarocas, C. (2006). Reputation mechanisms. In Handbook on Economics and Information Systems, pages 629–660. Elsevier Publishing.
Dobson, A. J. (1990). An Introduction to Generalized Linear Models. London:Chapman and Hall.
Flanagin, A. J. and Metzger, M. J. (2007). The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society, 9(2):319–342.
Guha, R., Kumar, R., Raghavan, P., and Tomkins, A. (2004). Propagation of trust and distrust. In WWW ’04: Proc. of the 13th international conference on World Wide Web, pages 403–412, NY, USA. ACM.
Holahan, C. (2008). Auctions on ebay: A dying breed. BusinessWeek online.
Hosmer, D. W. (2000). Applied Logistic Regression. Wiley, New York, 2nd edition.
Houser, D. and Wooders, J. (2006). Reputation in auctions: Theory, and evidence from ebay. Journal of Economics & Management Strategy, 15(2):353–369.
Jøsang, A., Ismail, R., and Boyd, C. (2007). A survey of trust and reputation systems for online service provision. Decis. Support Syst., 43(2):618–644.
Juffinger, A., Granitzer, M., and Lex, E. (2009). Blog credibility ranking by exploiting verified content. In Proc. of the 3rd workshop on Information credibility on the web, pages 51–58, NY, USA. ACM.
Klos, T. and Alkemade, F. (2005). Trusted intermediating agents in electronic trade networks. In AAMAS ’05: Proc. of the 4th international joint conference on Autonomous agents and multiagent systems, pages 1249–1250, New York, NY, USA. ACM.
Lima, R. and Pereira, A. (2011). Applying logistic regression to rank credibility in web applications. In 7th International Conference on Web Information Systems and Technologies.
Mccullagh, P. and Nelder, J. A. (1989). Generalized Linear Models. Chapman and Hall, 2nd edition.
Melnik, M. I. and Alm, J. (2002). Does a seller’s ecommerce reputation matter? evidence from ebay auctions. Journal of Industrial Economics, 50(3):337–49.
Pereira, A. M., Duarte, D., Jr., W. M., Almeida, V., and Góes, P. (2009). Analyzing seller practices in a brazilian marketplace. In 18th International World Wide Web Conference, pages 1031–1041.
Resnick, P. and Zeckhauser, R. (2002). Trust among strangers in internet transactions: Empirical analysis of ebay’s reputation system. The Economics of the Internet and E-Commerce, Elsevier Science B.V.:127–157.
Sabater, J. and Sierra, C. (2005). Review on computational trust and reputation models. Artif. Intell. Rev., 24(1):33–60.
Team, R. (2009). R: A language and environment for statistical computing. [link]. The R Development Core Team.
Venables, W. N., Smith, D. M., and the R Development Core Team (2009). An introduction to r. [link].
Amin, A., Zhang, J., Cramer, H., Hardman, L., and Evers, V. (2009). The effects of source credibility ratings in a cultural heritage information aggregator. In WICOW ’09: Proc. of the 3rd workshop on Information credibility on the web, pages 35–42, NY, USA. ACM.
Casella, G. and Berger, R. (2002). Statistical Inference. Pacific Grove, 2nd edition.
Dellarocas, C. (2006). Reputation mechanisms. In Handbook on Economics and Information Systems, pages 629–660. Elsevier Publishing.
Dobson, A. J. (1990). An Introduction to Generalized Linear Models. London:Chapman and Hall.
Flanagin, A. J. and Metzger, M. J. (2007). The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media Society, 9(2):319–342.
Guha, R., Kumar, R., Raghavan, P., and Tomkins, A. (2004). Propagation of trust and distrust. In WWW ’04: Proc. of the 13th international conference on World Wide Web, pages 403–412, NY, USA. ACM.
Holahan, C. (2008). Auctions on ebay: A dying breed. BusinessWeek online.
Hosmer, D. W. (2000). Applied Logistic Regression. Wiley, New York, 2nd edition.
Houser, D. and Wooders, J. (2006). Reputation in auctions: Theory, and evidence from ebay. Journal of Economics & Management Strategy, 15(2):353–369.
Jøsang, A., Ismail, R., and Boyd, C. (2007). A survey of trust and reputation systems for online service provision. Decis. Support Syst., 43(2):618–644.
Juffinger, A., Granitzer, M., and Lex, E. (2009). Blog credibility ranking by exploiting verified content. In Proc. of the 3rd workshop on Information credibility on the web, pages 51–58, NY, USA. ACM.
Klos, T. and Alkemade, F. (2005). Trusted intermediating agents in electronic trade networks. In AAMAS ’05: Proc. of the 4th international joint conference on Autonomous agents and multiagent systems, pages 1249–1250, New York, NY, USA. ACM.
Lima, R. and Pereira, A. (2011). Applying logistic regression to rank credibility in web applications. In 7th International Conference on Web Information Systems and Technologies.
Mccullagh, P. and Nelder, J. A. (1989). Generalized Linear Models. Chapman and Hall, 2nd edition.
Melnik, M. I. and Alm, J. (2002). Does a seller’s ecommerce reputation matter? evidence from ebay auctions. Journal of Industrial Economics, 50(3):337–49.
Pereira, A. M., Duarte, D., Jr., W. M., Almeida, V., and Góes, P. (2009). Analyzing seller practices in a brazilian marketplace. In 18th International World Wide Web Conference, pages 1031–1041.
Resnick, P. and Zeckhauser, R. (2002). Trust among strangers in internet transactions: Empirical analysis of ebay’s reputation system. The Economics of the Internet and E-Commerce, Elsevier Science B.V.:127–157.
Sabater, J. and Sierra, C. (2005). Review on computational trust and reputation models. Artif. Intell. Rev., 24(1):33–60.
Team, R. (2009). R: A language and environment for statistical computing. [link]. The R Development Core Team.
Venables, W. N., Smith, D. M., and the R Development Core Team (2009). An introduction to r. [link].
Publicado
19/07/2011
Como Citar
LIMA, Rafael; PEREIRA, Adriano.
Uso de Regressão Logística para Modelar e Avaliar a Credibilidade em Aplicações Web. In: CONCURSO DE TRABALHOS DE INICIAÇÃO CIENTÍFICA DA SBC (CTIC-SBC), 30. , 2011, Natal/RN.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2011
.
p. 204-213.