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Usability Of An E-Commerce Website Using Information Mining and Artificial Intelligence

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Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
International Conference on Information Technology and Knowledge Management (1 ; 22-23.12.2017 ; New Delhi, India)
Języki publikacji
EN
Abstrakty
EN
Everyday a number of people are launching new websites of which many are e-Commerce websites. E-Commerce website means business and to have business they have to be useful to the customer. So, it is very important for the e-Commerce site to get the trust of the customer. Or in other words the trustworthiness of an e-Commerce site is very important to have business. Usability can be increased by enhancing trust. How much a customer trusts a website becomes a fundamental question which beckons for an answer. More a customer trusts a website, more he will be using the website. This article includes a study on website usability, trust evaluation and how to improve trust to improve the usability of a website. Here we find the different factors that affect the quality of an e-commerce site. Based on these factors the trustworthiness of an e-commerce site is calculated using Matlab.
Rocznik
Tom
Strony
59--64
Opis fizyczny
Bibliogr. 21 poz., tab., il.
Twórcy
autor
  • Computer Science & Engineering, Birla Institute f Technology,Mesra:Ranchi, India
autor
  • Computer Science & Engineering, Birla Institute f Technology,Mesra:Ranchi, India
Bibliografia
  • 1. M A Islam, F Ahmed, Y Borodin, J Mahmud and I. V. Ramakrishnan, “Improving Accessibility of Transaction-centric Web Objects”, SIAM International Conference on Data Mining (SDM), 2010.
  • 2. M Ahmed, J Kaysar and N Rahman, “Design Approaches to Enhance Usability for E-Commerce Sites”, International Journal of Computer Science Issues, Vol. 8, Issue 6, No 1, 2011.
  • 3. http://www.networksolutions.com/education/what-is-ecommerce/
  • 4. Z Wu and H Wu, “An Agent based Fuzzy Recommendation system using shoppers Prefences for E-commerce Applications”, International Journal Uncertainty Fuzzy Knowledge Based System, Vol. 18, pp. 471, 2010.
  • 5. Book:: MATLAB and Its Applications in Engineering, R K Bansal, A K Goel, M Sharma, Pearson Education India, 2009.
  • 6. Z Wu and Yu Zhou, "Service Trustworthiness Evaluation Using Neural Network and Fuzzy Logic", Services Computing (SCC) 2016 IEEE International Conference on, pp. 563-570, 2016.
  • 7. G Acampora, A Castiglione and A Vitiello, "A fuzzy logic based reputation system for E-markets", Fuzzy Systems (FUZZ-IEEE) 2014 IEEE International Conference on, pp. 865-872, 2014.
  • 8. Z Li, H Lin, C Lu and Y Zhang, "Managing Data for Evaluating Trust in Unstructured Peer-to-Peer Networks”, Advances in Grid and Pervasive Computing. GPC 2008. Lecture Notes in Computer Science, Vol. 5036, Springer, Berlin, Heidelberg.
  • 9. Book:: Rule Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project, B G Buchanan, The Addison-Wesley series in artificial intelligence, 1st Edition.
  • 10. T Oliveira, M Alhinho, P Rita and G Dhillon, “Modelling and testing consumer trust dimensions in e-commerce”, Computers in Human Behavior Vol. 71, pp. 153-164, 2017.
  • 11. J Mahmud, Y Borodin, M A Islam and F Ahmed, “Bridging the Web Accessibility”, Electronic Notes in Theoretical Computer Science, Elsevier, 2009.
  • 12. http://en.wikipedia.org/wiki/Ethnography.
  • 13. S Trewin, B Cragun, C Swart, J Brezin and J Richards, “Accessibility challenges and tool features: an IBM Web developer perspective”, International Cross Disciplinary Conference on Web Accessibility (W4A), ACM, 2010.
  • 14. Book:: Human-Computer Interaction, A Dix, J Finlay, G Abowd, and R Beale. Prentice Hall, 2004.
  • 15. M A Islam, F Ahmed, Y Borodin, J Mahmud and I V Ramakrishnan, “Improving Accessibility of Transaction-centric Web Objects”, SIAM International Conference on Data Mining (SDM), 2010.
  • 16. http://www.usabilityinstitute.com/resources/stateoftheart.htm
  • 17. J Offutt, “Quality attributes of Web software applications”, IEEE Software: Special Issue on Software Engineering of Internet Software, pp. 25–32, 2002.
  • 18. F Adrian, I Emilio and A Silvia, “Usability evaluation methods for the web: A systematic mapping study”, Information and Software Technology, pp. 789-817, 2011.
  • 19. A Salim and B Abdelmajid’ “An evaluation study of the navigation and search systems on two academic websites and Google”, The International Information & Library Review, pp. 50-61, 2010.
  • 20. H Hartson, T Andre and R Williges, “Criteria for evaluating usability evaluation methods”, International journal of human-computer interaction, pp. 373-410, 2001.
  • 21. F Lia and Y Lib, “Usability evaluation of e-commerce on B2C websites in China”, Elsevier, 2011.
Uwagi
1. Preface
2. Technical Session: First International Conference on Information Technology and Knowledge Management
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-58c7f1ad-3b86-4842-800d-c2b40b849ab6
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