Results 51 to 60 of about 1,692 (204)
Concurrency and Computation: Practice and Experience, Volume 38, Issue 11, June 2026.ABSTRACT Sentiment analysis of movie reviews reflects users' behavioral preferences and emotional responses to films, aiding in understanding audience needs and enhancing user experience. In recent years, deep ensemble learning has significantly improved sentiment polarity prediction by combining multiple deep models.
Hanzhe Cai, Ze Wu, Seena Joseph
wiley +1 more source
Data Mining Techniques in Customer Churn Prediction [PDF]
, 2012 [[abstract]]"Customer churn prediction is one of the most important problems in customer relationship management (CRM). Its aim is to retain valuable customers to maximize the profit of a company.
蔡志豐;Tsai, Chih-Fong;盧鈺欣;Lu, Yu-Hsin
core
Customer Churn Prediction on E-Commerce Data using Stacking Classifier
, 2022 Customer Churn Prediction Using Stacking ...
Shashwat Awasthi (13014429)
core +1 more source
Decision Threshold Setting in Binary Classification Problems—A Behavioral Lens
Journal of Operations Management, Volume 72, Issue 4, Page 536-555, June 2026.ABSTRACT When binary classification models are wrong, managers face misclassification costs. Although false positive outcomes imply unnecessary mitigation efforts, false negative outcomes imply overlooking the class of interest. Humans calibrate these ai models supporting operational systems by adjusting the decision threshold that translates ...
Patrick Moder, Kai Hoberg, Felix Papier
wiley +1 more source
Jurnal Informatika, 2008 The purpose of this research is to design a customer churn prediction system using data mining approach. This system is able to perform data integration, data cleaning, data transformation, sampling and data splitting, prediction model building ...
Rajesri Govindaraju +2 more
doaj
A Comprehensive Evaluation of Machine Learning and Deep Learning Models for Churn Prediction
InformationChurn prediction has become one of the core concepts in customer relationship management within the insurances, telecom, and internet service provider industries, which is essential in customer retention.
Nabil M. AbdelAziz +4 more
doaj +1 more source
Diasporic Threads in the Age of Ultra‐Fast Fashion: A Response to Hardill and Raghuram (1998)
Area, Volume 58, Issue 2, June 2026.ABSTRACT This article revisits Hardill and Raghuram's 1998 paper, Diasporic Connections, to explore how the dynamics at the heart of the paper, including gendered labour, cultural inheritance and transnational entrepreneurship, resonate within a dramatically different fashion landscape of 2025.
Taylor Brydges +2 more
wiley +1 more source
Customer churn prediction using deep learning
, 2021 12th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2020 and 16th International Conference on Information Assurance and Security, IAS 2020 -- 15 December 2020 through 18 December 2020 -- -- 258059Churn studies have been used ...
Hızıroğlu, Abdülkadir +2 more
core +1 more source
Decision Sciences, Volume 57, Issue 3, Page 185-212, June 2026.Abstract Trust and fairness are critical to the sustainable development of the sharing economy, particularly in platform–supplier relationships, where numerous individual suppliers offer access to their durable assets without transferring ownership. Motivated by the real‐world phenomenon of personalized wages and informed through direct interactions ...
Ying Yin, Xishu Li
wiley +1 more source
Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement
Psychology &Marketing, Volume 43, Issue 5, Page 1145-1159, May 2026.ABSTRACT As Generative Artificial Intelligence (GenAI) platforms, such as ChatGPT, have transformed digital search querying behavior, mounting operational costs challenge firms to explore alternative monetization strategies beyond traditional subscription models.
Veronica Rosendo‐Rios, Paurav Shukla
wiley +1 more source