The Study of Data Mining Approach Implements on Mobile Gamer Behavior and Recommendation System
| Autor: | Wei-Lun Chiu, 邱偉倫 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 With increasing dependence, people keep their mobile phones on them all the time, and even get influenced psychologically, which leads to whole new business chances for diversified companies in different industries. Game companies nowadays don’t do businesses using traditional ways. There is no limitation on specific groups of people and limitations on spaces have been eliminated. Therefore, game companies need to provide better quality, listen to customer feedback, and discover novel service model and gaming experience to keep looking for business opportunities. This study retrieved data by using survey. Clustering and association analysis of data mining are applied to outline gamers, and four dimensional relationships are discussed, including gamer characteristics, content of mobile games and consumer behavior in virtual shopping. This study proposed recommendation system and services according to gamer preference on games and shopping, offering game companies some references. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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