Results 91 to 100 of about 17,717 (205)
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
Review of Data Mining Techniques for Churn Prediction in Telecom
Journal of Information and Organizational Sciences, 2015 Telecommunication sector generates a huge amount of data due to increasing number of subscribers, rapidly renewable technologies; data based applications and other value added service.
Vishal Mahajan +2 more
doaj
Social Sciences and Humanities OpenCustomer churn directly leads to the weakening of the economic efficiency of an operator and even the loss of its competitive advantage in the market share. The identification and prediction of customer churn in the era of interconnection has become more
Liu Kun +2 more
doaj +1 more source
Criminology, Volume 64, Issue 2, Page 242-283, May 2026.Abstract Social scientists have long been interested in understanding how age, period, and cohort effects shape long‐term homicide trends. Yet fundamental measurement challenges remain pervasive in estimating age‐specific homicide rates for birth cohorts.
Jason Robey, Matt Vogel
wiley +1 more source
British Journal of Educational Technology, Volume 57, Issue 3, Page 674-689, May 2026.Abstract This article examines recent trends in the data infrastructures of Australian schools. Data interoperability has become integral to school operations as it enables data to flow between the array of applications that are used by the school and the broader school system by using a standardized format.
Luci Pangrazio
wiley +1 more source
Modeling churn using customer lifetime value. [PDF]
The definition and modeling of customer loyalty have been central issues in customer relationship management since many years. Recent papers propose solutions to detect customers that are becoming less loyal, also called churners.
Baesens, Bart +2 more
core
Collective Churn Prediction in Social Network
2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2012 In service-based industries, churn poses a significant threat to the integrity of the user communities and profitability of the service providers. As such, research on churn prediction methods has been actively pursued, involving either intrinsic, user profile factors or extrinsic, social factors. However, existing approaches often address each type of
Richard Jayadi Oentaryo +4 more
openaire +3 more sources
A Counterfactual Modeling Framework for Churn Prediction [PDF]
Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, 2022 Guozhen Zhang +4 more
openaire +1 more source
A Data Imputation Strategy to Enhance Online Game Churn Prediction, Considering Non-Login Periods
DataUser churn in online games refers to players becoming inactive for an extended period. Even a small increase in churn can lead to significant revenue loss, making churn prediction crucial for sustaining long-term player engagement.
JaeHong Lee +2 more
doaj +1 more source
Predictive Churn with the Set of Good Models
CoRRIssues can arise when research focused on fairness, transparency, or safety is conducted separately from research driven by practical deployment concerns and vice versa. This separation creates a growing need for translational work that bridges the gap between independently studied concepts that may be fundamentally related.
Jamelle Watson-Daniels +5 more
openaire +2 more sources