Multi clustering recommendation system for fashion retail

P Bellini, LAI Palesi, P Nesi, G Pantaleo - Multimedia Tools and …, 2023 - Springer
Fashion retail has a large and ever-increasing popularity and relevance, allowing customers
to buy anytime finding the best offers and providing satisfactory experiences in the shops …

Customer segmentation and strategy development based on user behavior analysis, RFM model and data mining techniques: a case study

M Tavakoli, M Molavi, V Masoumi… - 2018 IEEE 15th …, 2018 - ieeexplore.ieee.org
The RFM (Recency, Frequency and Monetary) model provides an effective analysis for
decision makers in order to target their customers and develop appropriate marketing …

Customers segmentation in the insurance company (TIC) dataset

W Qadadeh, S Abdallah - Procedia computer science, 2018 - Elsevier
Customers' Segmentation is an important concept for designing marketing campaigns to
improve businesses and increase revenue. Clustering algorithms can help marketing …

Assessing Muslim travellers' preferences regarding food in Japan using conjoint analysis: An exploratory study on the importance of prayer room availability and …

R Saville, A Mahbubi - Heliyon, 2021 - cell.com
This study investigates the priorities of food preference attributes of Muslim travellers in
Japan to identify Muslim consumers' willingness to pay for food at establishments that offer …

Customer segmentation using centroid based and density based clustering algorithms

ASMS Hossain - 2017 3rd International Conference on …, 2017 - ieeexplore.ieee.org
In recent years, customer segmentation has become one of the most significant and useful
tools for e-commerce. It plays a vital role in online product recommendation system and also …

[图书][B] Artificial Intelligence Systems and the Internet of Things in the Digital Era: Proceedings of EAMMIS 2021

AMAM Al-Sartawi, A Razzaque, MM Kamal - 2021 - books.google.com
This book brings together intelligence systems and the Internet of Things, with special
attention given to the opportunities, challenges, for education, business growth, and …

A two-phase clustering analysis for B2B customer segmentation

DAR Kandeil, AA Saad… - … Conference on Intelligent …, 2014 - ieeexplore.ieee.org
In recent years data mining (DM) has been heavily applied in customer relationship
management (CRM). The objective of this paper is the categorization of customer records …

Customer segmentation of shopping mall users using K-Means clustering

A Kumar - Advancing SMEs Toward E-Commerce Policies for …, 2023 - igi-global.com
The most successful companies are the one that know their customers very well and can
anticipate their needs. Good customer profiles at the fingertips have businesses improve …

Using data mining and neural networks techniques to propose a new hybrid customer behaviour analysis and credit scoring model in banking services based on a …

M Alborzi, M Khanbabaei - International Journal of …, 2016 - inderscienceonline.com
Nowadays, credit scoring is one of the major activities in banks and other financial
institutions. Also, banks need to identify customers' behaviour to segment and classify …

How many, how often, and how new? A multivariate profiling of mobile app users

F Liu, S Zhao, Y Li - Journal of Retailing and Consumer Services, 2017 - Elsevier
Despite enormous demand for and explosive growth of mobile phone apps in recent years,
few studies have been conducted to arrive at a multi-faceted valuation of app users. Our …