Kayayo: An e-commerce site with recommendations and text messaging
dc.contributor.author | Nkansah, Emmanuel Antwi | |
dc.date.accessioned | 2017-06-09T10:56:39Z | |
dc.date.available | 2017-06-09T10:56:39Z | |
dc.date.issued | 2013-04 | |
dc.description | Applied project submitted to the Department of Computer Science, Ashesi University College, in partial fulfillment of Bachelor of Science degree in Computer Science, April 2013 | en_US |
dc.description.abstract | E-commerce, as a means of transacting business, is increasingly providing Ghanaians abroad and at home with a new and more convenient way to do their shopping. Sites such as makola.com and myebayghana.com are providing retailers with a means to exhibit their products to enable them expand their reach. However, many e-commerce sites do not fully address the shopping needs of the average Ghanaian shopper, which are, a quick, easy, reliable and more contextual way to shop for products and have them delivered to their doorsteps. This project therefore proposes a convenient, intuitive and contextually relevant e-shopping system. The system uses recommendation algorithms and SMS messaging as a major means of interaction. | en_US |
dc.description.sponsorship | Ashesi University College | en_US |
dc.identifier.uri | http://hdl.handle.net/20.500.11988/211 | |
dc.language.iso | en_US | en_US |
dc.subject | Ghana | en_US |
dc.subject | e-commerce | en_US |
dc.subject | website | en_US |
dc.subject | shopping | en_US |
dc.subject | text messaging | en_US |
dc.title | Kayayo: An e-commerce site with recommendations and text messaging | en_US |
dc.type | Applied project | en_US |
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