Abstract
With the development of computer technologies and invention of internet, many concepts have entered our lives. With the starting of wide usage of globalized internet network, concept of machine learning has emerged in time for smarter management of data flow in big dimensions. In line with technological developments, all activities began to be carried to digital environment and as a result of this, concept of e-commerce has entered our lives. E-commerce is one of the areas where machine learning is used most widely. By examining product purchasing situations in accordance with data available at the enterprises, various researches have been made for selection of most appropriate model in order to predict future data. In the study it was mentioned about concepts of e-commerce and machine learning and by applying Logistic Regression, Naïve Bayes and Support Vector Machines being machine learning classification algorithms, it has been aimed to determine the model having best accuracy ratio. JEL codes: L81, C11, C38, C39, C53
Highlights
With the invention and development of internet, world has underwent a big change and internet which was used by big institutions at the beginning and which had certain limits, has begun to be used by all the institutions and people
As people live as being dependent on digital devices and internet in our current world, a new user behavior has emerged
New user approach has affected majority of markets and sectors and as people tend to realize their transactions online, shopping which is one of the biggest economical values was carried to digital devices and e-commerce began to be applied (Çelik, Ertemel, 2016)
Summary
With the invention and development of internet, world has underwent a big change and internet which was used by big institutions at the beginning and which had certain limits, has begun to be used by all the institutions and people. E-commerce that is considered as non-ending sector of future, provides a wide scale application area with machine learning and artificial intelligence and for this reason there is need for new contents and algorithms. Companies use these algorithms to evaluate their current positions and to direct them in order to meet customers’ requests and provide a preferable service. These algorithms are important for businesses and anyone who wants to trade on e-commerce, whether their products are purchased or not, in order to predict this situation and develop strategies. As a result of model that is determined, by using the correct algorithm about whether the newly coming customer will purchase the product or not, targets can be set by making prediction on factors such as revenue and performance relating with the future
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