A review on customer segmentation methods for personalized customer targeting in e-commerce use cases
The importance of customer-oriented marketing has increased for companies in recent
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …
decades. With the advent of one-customer strategies, especially in e-commerce, traditional …
The ai revolution: opportunities and challenges for the finance sector
This report examines Artificial Intelligence (AI) in the financial sector, outlining its potential to
revolutionise the industry and identify its challenges. It underscores the criticality of a well …
revolutionise the industry and identify its challenges. It underscores the criticality of a well …
Research on Segmenting E‐Commerce Customer through an Improved K‐Medoids Clustering Algorithm
Z Wu, L **, J Zhao, L **g… - Computational Intelligence …, 2022 - Wiley Online Library
In view of the shortcomings of traditional clustering algorithms in feature selection and
clustering effect, an improved Recency, Frequency, and Money (RFM) model is introduced …
clustering effect, an improved Recency, Frequency, and Money (RFM) model is introduced …
[HTML][HTML] Data-driven strategies for digital native market segmentation using clustering
The rapid growth of internet users and social networking sites presents significant
challenges for entrepreneurs and marketers. Understanding the evolving behavioral and …
challenges for entrepreneurs and marketers. Understanding the evolving behavioral and …
[PDF][PDF] Financial revolution: a systemic analysis of artificial intelligence and machine learning in the banking sector.
R Jáuregui-Velarde… - … of Electrical & …, 2024 - pdfs.semanticscholar.org
This paper reviews the advances, challenges, and approaches of artificial intelligence (AI)
and machine learning (ML) in the banking sector. The use of these technologies is …
and machine learning (ML) in the banking sector. The use of these technologies is …
Customer Market Segmentation using Machine Learning Algorithm
SR Regmi, J Meena, U Kanojia… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Everything is becoming more mechanized in today's times, especially in this age of data.
Data is the world's new electricity. Many firms can benefit from this information in their …
Data is the world's new electricity. Many firms can benefit from this information in their …
[HTML][HTML] Natural Language Processing Tools and Workflows for Improving Research Processes
The modern research process involves refining a set of keywords until sufficiently pertinent
results are obtained from acceptable sources. References and citations from the most …
results are obtained from acceptable sources. References and citations from the most …
Human-Centred Machine Learning Approaches for Smart Cultural Heritage Spaces: A Multicontinental Review
The influence of digital technologies on the Cultural Heritage sector has grown as the use of
Artificial Intelligence (AI), the Internet of Things (IOT), Virtual Reality (VR) and Augmented …
Artificial Intelligence (AI), the Internet of Things (IOT), Virtual Reality (VR) and Augmented …
Behavioural user segmentation of app users based on functionality interaction patterns
LY Ooi, CY Ting, H Zakariah, E Chandar - Cogent Engineering, 2024 - Taylor & Francis
User segmentation categorises a large and complex user base into manageable similar
groups of users. Existing works encounter challenges when dealing with a sparse dataset …
groups of users. Existing works encounter challenges when dealing with a sparse dataset …
Technology and banking operations: Perspectives of international students in a Ghanaian University
HL Moussa, A Bans-Akutey - Annals of Management and …, 2022 - goodwoodpub.com
Purpose: The study analysed perceptions of international students in a Ghanaian private
university college on the effect of information technology on banking operations as they …
university college on the effect of information technology on banking operations as they …