Prediction of the mobile game players’ payments-related retention from the Big Data perspective
| Autor: | Piotr Bilski, Rafał Łabędzki, Adrian Bilski |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | International Journal of Electronics and Telecommunications, Vol vol. 70, Iss No 4, Pp 1081-1087 (2024) |
| Druh dokumentu: | article |
| ISSN: | 2081-8491 2300-1933 |
| DOI: | 10.24425/ijet.2024.152510 |
| Popis: | The paper presents the methodology for evaluating mobile game players retention, which is the basis for generating economic income for its creators. The system for collecting and processing the in-game data (events related to the players’ actions) exploiting the Big Data cloud platform is described. The player profile with the crucial features allowing for the retention analysis is introduced. Datasets generated for the My Spa Resort mobile game by CherryPick company are described. The retention prediction approach based on the similarity estimation between the analyzed and already inactive players is presented. Results of the prediction using the k Nearest Neighbors (kNN) classifier are discussed. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|