Results 61 to 70 of about 66,228 (238)
Optimizing Monetization Strategies for Generative AI Firms: Implications for Search Engagement
Psychology &Marketing, EarlyView.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
Fast route model in peer to peer network
Tongxin xuebao, 2011 A fast self-organizing routing model（FSRM） was proposed based on DHT.In the model,the approach of the route lookup,the system of nodes joining and leaving was described.When joining node need to select neighboring nodes,measured scheme of stability ...
CHEN Shan-xiong 1, LI Li1, ZHANG Lin1
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
Attestation of Improved SimBlock Node Churn Simulation
Journal of ICT, 2023 Node churn, or the constant joining and leaving of nodes in a network, can impact the performance of a blockchain network. The difficulties of performing research on the actual blockchain network, particularly on a live decentralized global network like
Zi Hau Chin +4 more
doaj +1 more source
An Analytical Study of a Structured Overlay in the presence of Dynamic Membership [PDF]
, 2005 In this paper, we present a complete analytical study of dynamic membership (aka churn) in structured peer-to-peer networks. We use a master-equation-based approach, which is used traditionally in non-equilibrium statistical mechanics to describe ...
Aurell, Erik +3 more
core +1 more source
Ensembles of probability estimation trees for customer churn prediction [PDF]
, 2010 Customer churn prediction is one of the most, important elements tents of a company's Customer Relationship Management, (CRM) strategy In tins study, two strategies are investigated to increase the lift. performance of ensemble classification models, i.e
A. Lemmens +20 more
core +3 more sources
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim +4 more
wiley +1 more source
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
Churn prediction analysis of telecom customers using svm, random forest and logistic regression models using orange data mining tools [PDF]
E3S Web of ConferencesThis research aims to apply classification algorithms to telecommunication customer churn data using Orange Data Mining. The methods used include Support Vector Machine (SVM), Random Forest and Logistic Regression. The dataset used is secondary data, the
Nurtriana Ana +3 more
doaj +1 more source
, 2019 Customer churn is a major problem and one of the most important concerns for large companies. Due to the direct effect on the revenues of the companies, especially in the telecom field, companies are seeking to develop means to predict potential customer
Ahmad, Abdelrahim Kasem +2 more
core +1 more source