A review on customer segmentation methods for personalized customer targeting in e-commerce use cases

M Alves Gomes, T Meisen - Information Systems and e-Business …, 2023 - Springer
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 …

The ai revolution: opportunities and challenges for the finance sector

C Maple, L Szpruch, G Epiphaniou, K Staykova… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

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 …

[HTML][HTML] Data-driven strategies for digital native market segmentation using clustering

MA Uddin, MA Talukder, MR Ahmed, A Khraisat… - International Journal of …, 2024 - Elsevier
The rapid growth of internet users and social networking sites presents significant
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 …

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 …

[HTML][HTML] Natural Language Processing Tools and Workflows for Improving Research Processes

N Khan, D Elizondo, L Deka, MA Molina-Cabello - Applied Sciences, 2024 - mdpi.com
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 …

Human-Centred Machine Learning Approaches for Smart Cultural Heritage Spaces: A Multicontinental Review

C Murphy, PJ Carew, L Stapleton - IFAC-PapersOnLine, 2024 - Elsevier
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 …

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 …

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 …