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
Recommended Citation
Tavanxhiu, Tea and Alberici, Andrea, "How Machine Learning is shaping the e-commerce trends" (2017). UBT International Conference. 97.
https://knowledgecenter.ubt-uni.net/conference/2017/all-events/97
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.