Event Title

How Machine Learning is shaping the e-commerce trends

Session

Computer Science and Communication Engineering

Description

Machine Learning has had its impact on the online world ever since PageRank and has been Further more used for generating recommendations, for predictive analysis, which analyzes user purchase patterns, product attributes, and the performance of different products. This data helps generate the most relevant product recommendations that also have the highest probability of generating a sale from a particular customer. The premise is much simpler than the types of machine learning at work today.

This paper aims to explain how the usage of machine learning is driving the trends of e-commerce websites and apps from a technological and economic perspective. It will provide cases of new features, new functionalities and what is the impact that will drive the trend of such an important commodity that is gaining more and more share in the channels of business.

Keywords:

Machine learning, Ecommerce, Predictive Analysis, patterns, chatbot

Session Chair

Kozeta Sevran

Session Co-Chair

Bertan Karahoda

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-437-54-7

Location

Durres, Albania

Start Date

27-10-2017 3:00 PM

End Date

27-10-2017 4:30 PM

DOI

10.33107/ubt-ic.2017.97

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Oct 27th, 3:00 PM Oct 27th, 4:30 PM

How Machine Learning is shaping the e-commerce trends

Durres, Albania

Machine Learning has had its impact on the online world ever since PageRank and has been Further more used for generating recommendations, for predictive analysis, which analyzes user purchase patterns, product attributes, and the performance of different products. This data helps generate the most relevant product recommendations that also have the highest probability of generating a sale from a particular customer. The premise is much simpler than the types of machine learning at work today.

This paper aims to explain how the usage of machine learning is driving the trends of e-commerce websites and apps from a technological and economic perspective. It will provide cases of new features, new functionalities and what is the impact that will drive the trend of such an important commodity that is gaining more and more share in the channels of business.