The shift in research trends related to artificial intelligence in library repositories during the coronavirus pandemic

PA Nugroho, NEV Anna, N Ismail - Library Hi Tech, 2023 - emerald.com
Purpose This study sought to analyze the correlation between artificial intelligence (AI) and
libraries and examine whether there were any shifts in research trends related to these two …

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE Access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

A survey on churn analysis in various business domains

J Ahn, J Hwang, D Kim, H Choi, S Kang - IEEE Access, 2020 - ieeexplore.ieee.org
In this paper, we present churn prediction techniques that have been released so far. Churn
prediction is used in the fields of Internet services, games, insurance, and management …

TripChain2RecDeepSurv: A novel framework to predict transit users' lifecycle behavior status transitions for user management

C Yu, H Lin, W Dong, S Fang, Q Yuan… - … Research Part C …, 2024 - Elsevier
Transit users' lifecycle behavior pattern transition reflects the continuous and multi-phase
changes in how frequently and regularly users utilize public transit over their lifetime …

Predicting game difficulty and churn without players

S Roohi, A Relas, J Takatalo, H Heiskanen… - Proceedings of the …, 2020 - dl.acm.org
We propose a novel simulation model that is able to predict the per-level churn and pass
rates of Angry Birds Dream Blast, a popular mobile free-to-play game. Our primary …

perCLTV: A general system for personalized customer lifetime value prediction in online games

S Zhao, R Wu, J Tao, M Qu, M Zhao, C Fan… - ACM Transactions on …, 2023 - dl.acm.org
Online games make up the largest segment of the booming global game market in terms of
revenue as well as players. Unlike games that sell games at one time for profit, online …

A data-driven decision support framework for player churn analysis in online Games

Y **ong, R Wu, S Zhao, J Tao, X Shen, T Lyu… - Proceedings of the 29th …, 2023 - dl.acm.org
Faced with saturated market and fierce competition of online games, it is of great value to
analyze the causes of the player churn for improving the game product, maintaining the …

Prediction of player churn and disengagement based on user activity data of a freemium online strategy game

K Rothmeier, N Pflanzl, JA Hüllmann… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Churn describes customer defection from a service provider. This can be observed in online
freemium games, where users can leave without further notice. Game companies are …

Prediction of churning game users based on social activity and churn graph neural networks

YJ Han, J Moon, J Woo - IEEE Access, 2024 - ieeexplore.ieee.org
This study introduces an innovative churn prediction model that leverages player activity and
social interaction data from the massive multiplayer online role-playing game (MMORPG) …

Uncovering the trends and developments in subscription business models through bibliometric analysis

Y Sharma, R Sijariya - Journal of Service Theory and Practice, 2024 - emerald.com
Purpose The purpose of this study is to examine the trends and developments of
subscription business models (SBMs) over the past two decades. Design/methodology …