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Abstract
An increasing number of consumers are engaging in online retailing interactions. Developing new models of the consumer will help businesses to enhance their understanding of their consumers and market segments, which in turn will lead to increased profitability. Online shopping is a process whereby consumers directly buy goods, services, etc. from a seller without an intermediary service over the Internet. Shoppers can visit web stores from the comfort of their house and shop by sitting in front of the computer. This research aims to develop a web-based shopping aid model that could help the consumers with their shopping decision by providing different types of search filtering and analyzing the collected data and generating clear summaries that will be displayed as tables and charts which helps customers to select the product that fits their needs.
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References
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