DigitalGate
Date
2021
Authors
حنجل, أيمن
حكواتي, أشرف
حلاوة, داوود
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
E-commerce provides an easy way to sell products to a large customer base. However, there
is a lot of competition among multiple e-commerce sites. When users land on an e-commerce
site, they expect to find what they are looking for quickly and easily. Also, users are not sure
about the brands or the actual products they want to purchase. Many customers nowadays
search for their products on Google rather than visiting specific e-commerce sites. As a result
we can find millions of online Stores Worldwide. Online Marketing reaches each person these
days in many ways. Also, it opens opportunities for People to Make Money and hire other
People.
Most of the online stores don’t utilize the personalized recommendation system and they
satisfy their customers with a non-personalized recommendation system. This might be due to
the complexity of implementing the personalized system, this requires a lot of processing and
some mathematics which is not easy to build. In our project, we manage to build a full
e-commerce website with a full recommendation system based on a collaborative filtering
approach. We’ve used the latest techniques which currently exist in web development. We
managed to make the website generic in order for the ability to re-sell it or run it as a business,
we provide plenty of features to give the customer the best user experience.
Our Project mainly aims to provide the customer with his needs of Digital Goods even if it
was a Software Licenses or Some Service Subscription with minimum effort to perform by using
a personalized recommendation system. Also, we wanted to show that building a full
recommendation system is not complex as most people think as well as the ability to utilize the
latest techniques in web development.