The Smart Shopping System (SSS): An Adaptive E-shopping Application for Reflecting the User's Personal Model

نویسندگان

  • Hesham M. Kamel
  • Moza Al-Nasseri
  • Maryam Al-Aryany
  • Hamda Al-Awar
چکیده

Clothing shopping systems are widely spread on the World Wide Web (WWW). However, without guaranteeing that these online systems are convenient for the average user, it is difficult for THE "online" businesses to gain the user’s trust and it's also intricate for them to build a wide range of clientele. Therefore, we propose a solution, a web-based clothing shopping system call The Smart Shopping System (SSS) that provides an adaptive virtual model for computer users to successfully achieve their online shopping goals. In this paper we address the problem that users encounter when they are shopping online, then present our solution and the technique behind developing the (SSS) system. We focus on the rationale behind our system interface design and implementation according to HCI standards. In addition, we discuss several important issues and cover features that will be addressed as in future work.

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تاریخ انتشار 2006