The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON BUSINESS AND ECONOMICS
Transactions ID Number: 89-583
Full Name: Muhammad Rushdi Rusli
Position: Student
Age: ON
Sex: Male
Address: Department of Information Systems, Faculty of Computer Science & Information Systems, Universiti Teknologi Malaysia, 81310 Skudai, Johor.
Country: MALAYSIA
Tel: +60176370603
Tel prefix:
Fax:
E-mail address: mrushdi84@gmail.com
Other E-mails: mrushdi84@yahoo.com
Title of the Paper: Assessing Trust in E-Commerce Website based on Ranking of Trust Attributes
Authors as they appear in the Paper: Muhammad Rushdi Rusli, Halina Mohamed Dahlan, Ab. Razak Che Hussin
Email addresses of all the authors: mrushdi84@gmail.com, halina@utm.my, abrazak@utm.my
Number of paper pages: 10
Abstract: Trust has become one of most importance criterion in order to establish the e-Commerce. Previous study has shown that, there are five most important trust attributes that should be placed in an e-Commerce website. However, consumers may not know about the trust attributes and incapable to search the attributes manually especially for the new consumers. Besides, there are no proper tools available that can help the consumers to search all five trust attributes in an e-Commerce website. In order to overcome the problem, tool that can search the trust attributes should be develop to help the customer to assess the trustworthiness level of an e-Commerce website. Since this study only focus on e-Commerce websites in United Kingdom (UK), United States (US) and Malaysia, data from the websites have been collected to create patterns using regular expressions. Observation has shown that most of trust attributes are located in "Homepage" and "Contact us" pages. The proposed !
patterns then are applied into the prototype and the practicability of the prototype has been tested. ROC has been used to assign weight to each attributes depending on the rank of the importance of the trust attributes to help the customer to assess and making a decision about the trustworthiness of an e-Commerce website. Precision, recall and f-measure have been used to measure the performance of the prototype and the results show that the system performs almost same result by using manual search.
Keywords: Information Extraction, Regular Expression, e-Commerce, Trust
EXTENSION of the file: .pdf
Special (Invited) Session: Regular Expression Patterns for Searching Trust Attributes in e-Commerce Website
Organizer of the Session: 640-540
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